fix(backend): Remove _credentials_id key on fork instead of setting to None

Setting _credentials_id to None on fork was ambiguous — both "forked,
needs re-auth" and "chained data from upstream" were represented as None.
This caused _acquire_auto_credentials to silently skip credential
acquisition for forked agents, leading to confusing TypeErrors at runtime.

Now the key is deleted entirely, making the three states unambiguous:
- Present with value: user-selected credentials
- Present as None: chained data from upstream block
- Absent: forked/needs re-authentication

Also adds pre-run validation for the missing key case and makes error
messages provider-agnostic.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

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

@@ -27,11 +27,20 @@ jobs:
     runs-on: ubuntu-latest
     outputs:
       cache-key: ${{ steps.cache-key.outputs.key }}
+      components-changed: ${{ steps.filter.outputs.components }}
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
 
+      - name: Check for component changes
+        uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          filters: |
+            components:
+              - 'autogpt_platform/frontend/src/components/**'
+
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
@@ -90,8 +99,11 @@ jobs:
   chromatic:
     runs-on: ubuntu-latest
     needs: setup
-    # Only run on dev branch pushes or PRs targeting dev
+    # Disabled: to re-enable, remove 'false &&' from the condition below
-    if: github.ref == 'refs/heads/dev' || github.base_ref == 'dev'
+    if: >-
+      false
+      && (github.ref == 'refs/heads/dev' || github.base_ref == 'dev')
+      && needs.setup.outputs.components-changed == 'true'
 
     steps:
       - name: Checkout repository

autogpt_platform/backend/backend/api/features/chat/tools/utils.py

@@ -6,7 +6,6 @@ from typing import Any
 from backend.api.features.library import db as library_db
 from backend.api.features.library import model as library_model
 from backend.api.features.store import db as store_db
-from backend.data import graph as graph_db
 from backend.data.graph import GraphModel
 from backend.data.model import (
     CredentialsFieldInfo,
@@ -44,14 +43,8 @@ async def fetch_graph_from_store_slug(
         return None, None
 
     # Get the graph from store listing version
-    graph_meta = await store_db.get_available_graph(
+    graph = await store_db.get_available_graph(
-        store_agent.store_listing_version_id
+        store_agent.store_listing_version_id, hide_nodes=False
-    )
-    graph = await graph_db.get_graph(
-        graph_id=graph_meta.id,
-        version=graph_meta.version,
-        user_id=None,  # Public access
-        include_subgraphs=True,
     )
     return graph, store_agent
 
@@ -124,11 +117,11 @@ def build_missing_credentials_from_graph(
     preserving all supported credential types for each field.
     """
     matched_keys = set(matched_credentials.keys()) if matched_credentials else set()
-    aggregated_fields = graph.aggregate_credentials_inputs()
+    aggregated_fields = graph.regular_credentials_inputs
 
     return {
         field_key: _serialize_missing_credential(field_key, field_info)
-        for field_key, (field_info, _node_fields) in aggregated_fields.items()
+        for field_key, (field_info, _, _) in aggregated_fields.items()
         if field_key not in matched_keys
     }
 
@@ -251,7 +244,7 @@ async def match_user_credentials_to_graph(
     missing_creds: list[str] = []
 
     # Get aggregated credentials requirements from the graph
-    aggregated_creds = graph.aggregate_credentials_inputs()
+    aggregated_creds = graph.regular_credentials_inputs
     logger.debug(
         f"Matching credentials for graph {graph.id}: {len(aggregated_creds)} required"
     )
@@ -269,7 +262,8 @@ async def match_user_credentials_to_graph(
     # provider is in the set of acceptable providers.
     for credential_field_name, (
         credential_requirements,
-        _node_fields,
+        _,
+        _,
     ) in aggregated_creds.items():
         # Find first matching credential by provider, type, and scopes
         matching_cred = next(

autogpt_platform/backend/backend/api/features/chat/tools/utils_test.py

@@ -0,0 +1,78 @@
+"""Tests for chat tools utility functions."""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.data.model import CredentialsFieldInfo
+
+
+def _make_regular_field() -> CredentialsFieldInfo:
+    return CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["github"],
+            "credentials_types": ["api_key"],
+            "is_auto_credential": False,
+        },
+        by_alias=True,
+    )
+
+
+def test_build_missing_credentials_excludes_auto_creds():
+    """
+    build_missing_credentials_from_graph() should use regular_credentials_inputs
+    and thus exclude auto_credentials from the "missing" set.
+    """
+    from backend.api.features.chat.tools.utils import (
+        build_missing_credentials_from_graph,
+    )
+
+    regular_field = _make_regular_field()
+
+    mock_graph = MagicMock()
+    # regular_credentials_inputs should only return the non-auto field
+    mock_graph.regular_credentials_inputs = {
+        "github_api_key": (regular_field, {("node-1", "credentials")}, True),
+    }
+
+    result = build_missing_credentials_from_graph(mock_graph, matched_credentials=None)
+
+    # Should include the regular credential
+    assert "github_api_key" in result
+    # Should NOT include the auto_credential (not in regular_credentials_inputs)
+    assert "google_oauth2" not in result
+
+
+@pytest.mark.asyncio
+async def test_match_user_credentials_excludes_auto_creds():
+    """
+    match_user_credentials_to_graph() should use regular_credentials_inputs
+    and thus exclude auto_credentials from matching.
+    """
+    from backend.api.features.chat.tools.utils import match_user_credentials_to_graph
+
+    regular_field = _make_regular_field()
+
+    mock_graph = MagicMock()
+    mock_graph.id = "test-graph"
+    # regular_credentials_inputs returns only non-auto fields
+    mock_graph.regular_credentials_inputs = {
+        "github_api_key": (regular_field, {("node-1", "credentials")}, True),
+    }
+
+    # Mock the credentials manager to return no credentials
+    with patch(
+        "backend.api.features.chat.tools.utils.IntegrationCredentialsManager"
+    ) as MockCredsMgr:
+        mock_store = AsyncMock()
+        mock_store.get_all_creds.return_value = []
+        MockCredsMgr.return_value.store = mock_store
+
+        matched, missing = await match_user_credentials_to_graph(
+            user_id="test-user", graph=mock_graph
+        )
+
+    # No credentials available, so github should be missing
+    assert len(matched) == 0
+    assert len(missing) == 1
+    assert "github_api_key" in missing[0]

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

@@ -374,7 +374,7 @@ async def get_library_agent_by_graph_id(
 
 
 async def add_generated_agent_image(
-    graph: graph_db.BaseGraph,
+    graph: graph_db.GraphBaseMeta,
     user_id: str,
     library_agent_id: str,
 ) -> Optional[prisma.models.LibraryAgent]:
@@ -1103,7 +1103,7 @@ async def create_preset_from_graph_execution(
             raise NotFoundError(
                 f"Graph #{graph_execution.graph_id} not found or accessible"
             )
-        elif len(graph.aggregate_credentials_inputs()) > 0:
+        elif len(graph.regular_credentials_inputs) > 0:
             raise ValueError(
                 f"Graph execution #{graph_exec_id} can't be turned into a preset "
                 "because it was run before this feature existed "

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

@@ -1,7 +1,7 @@
 import asyncio
 import logging
 from datetime import datetime, timezone
-from typing import Any, Literal
+from typing import Any, Literal, overload
 
 import fastapi
 import prisma.enums
@@ -11,8 +11,8 @@ import prisma.types
 
 from backend.data.db import transaction
 from backend.data.graph import (
-    GraphMeta,
     GraphModel,
+    GraphModelWithoutNodes,
     get_graph,
     get_graph_as_admin,
     get_sub_graphs,
@@ -334,7 +334,22 @@ async def get_store_agent_details(
         raise DatabaseError("Failed to fetch agent details") from e
 
 
-async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
+@overload
+async def get_available_graph(
+    store_listing_version_id: str, hide_nodes: Literal[False]
+) -> GraphModel: ...
+
+
+@overload
+async def get_available_graph(
+    store_listing_version_id: str, hide_nodes: Literal[True] = True
+) -> GraphModelWithoutNodes: ...
+
+
+async def get_available_graph(
+    store_listing_version_id: str,
+    hide_nodes: bool = True,
+) -> GraphModelWithoutNodes | GraphModel:
     try:
         # Get avaialble, non-deleted store listing version
         store_listing_version = (
@@ -344,7 +359,7 @@ async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
                     "isAvailable": True,
                     "isDeleted": False,
                 },
-                include={"AgentGraph": {"include": {"Nodes": True}}},
+                include={"AgentGraph": {"include": AGENT_GRAPH_INCLUDE}},
             )
         )
 
@@ -354,7 +369,9 @@ async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
                 detail=f"Store listing version {store_listing_version_id} not found",
             )
 
-        return GraphModel.from_db(store_listing_version.AgentGraph).meta()
+        return (GraphModelWithoutNodes if hide_nodes else GraphModel).from_db(
+            store_listing_version.AgentGraph
+        )
 
     except Exception as e:
         logger.error(f"Error getting agent: {e}")

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

@@ -16,7 +16,7 @@ from backend.blocks.ideogram import (
     StyleType,
     UpscaleOption,
 )
-from backend.data.graph import BaseGraph
+from backend.data.graph import GraphBaseMeta
 from backend.data.model import CredentialsMetaInput, ProviderName
 from backend.integrations.credentials_store import ideogram_credentials
 from backend.util.request import Requests
@@ -34,14 +34,14 @@ class ImageStyle(str, Enum):
     DIGITAL_ART = "digital art"
 
 
-async def generate_agent_image(agent: BaseGraph | AgentGraph) -> io.BytesIO:
+async def generate_agent_image(agent: GraphBaseMeta | AgentGraph) -> io.BytesIO:
     if settings.config.use_agent_image_generation_v2:
         return await generate_agent_image_v2(graph=agent)
     else:
         return await generate_agent_image_v1(agent=agent)
 
 
-async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
+async def generate_agent_image_v2(graph: GraphBaseMeta | AgentGraph) -> io.BytesIO:
     """
     Generate an image for an agent using Ideogram model.
     Returns:
@@ -54,14 +54,17 @@ async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
     description = f"{name} ({graph.description})" if graph.description else name
 
     prompt = (
-        f"Create a visually striking retro-futuristic vector pop art illustration prominently featuring "
+        "Create a visually striking retro-futuristic vector pop art illustration "
-        f'"{name}" in bold typography. The image clearly and literally depicts a {description}, '
+        f'prominently featuring "{name}" in bold typography. The image clearly and '
-        f"along with recognizable objects directly associated with the primary function of a {name}. "
+        f"literally depicts a {description}, along with recognizable objects directly "
-        f"Ensure the imagery is concrete, intuitive, and immediately understandable, clearly conveying the "
+        f"associated with the primary function of a {name}. "
-        f"purpose of a {name}. Maintain vibrant, limited-palette colors, sharp vector lines, geometric "
+        f"Ensure the imagery is concrete, intuitive, and immediately understandable, "
-        f"shapes, flat illustration techniques, and solid colors without gradients or shading. Preserve a "
+        f"clearly conveying the purpose of a {name}. "
-        f"retro-futuristic aesthetic influenced by mid-century futurism and 1960s psychedelia, "
+        "Maintain vibrant, limited-palette colors, sharp vector lines, "
-        f"prioritizing clear visual storytelling and thematic clarity above all else."
+        "geometric shapes, flat illustration techniques, and solid colors "
+        "without gradients or shading. Preserve a retro-futuristic aesthetic "
+        "influenced by mid-century futurism and 1960s psychedelia, "
+        "prioritizing clear visual storytelling and thematic clarity above all else."
     )
 
     custom_colors = [
@@ -99,12 +102,12 @@ async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
     return io.BytesIO(response.content)
 
 
-async def generate_agent_image_v1(agent: BaseGraph | AgentGraph) -> io.BytesIO:
+async def generate_agent_image_v1(agent: GraphBaseMeta | AgentGraph) -> io.BytesIO:
     """
     Generate an image for an agent using Flux model via Replicate API.
 
     Args:
-        agent (Graph): The agent to generate an image for
+        agent (GraphBaseMeta | AgentGraph): The agent to generate an image for
 
     Returns:
         io.BytesIO: The generated image as bytes
@@ -114,7 +117,13 @@ async def generate_agent_image_v1(agent: BaseGraph | AgentGraph) -> io.BytesIO:
             raise ValueError("Missing Replicate API key in settings")
 
         # Construct prompt from agent details
-        prompt = f"Create a visually engaging app store thumbnail for the AI agent that highlights what it does in a clear and captivating way:\n- **Name**: {agent.name}\n- **Description**: {agent.description}\nFocus on showcasing its core functionality with an appealing design."
+        prompt = (
+            "Create a visually engaging app store thumbnail for the AI agent "
+            "that highlights what it does in a clear and captivating way:\n"
+            f"- **Name**: {agent.name}\n"
+            f"- **Description**: {agent.description}\n"
+            f"Focus on showcasing its core functionality with an appealing design."
+        )
 
         # Set up Replicate client
         client = ReplicateClient(api_token=settings.secrets.replicate_api_key)

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

@@ -278,7 +278,7 @@ async def get_agent(
 )
 async def get_graph_meta_by_store_listing_version_id(
     store_listing_version_id: str,
-) -> backend.data.graph.GraphMeta:
+) -> backend.data.graph.GraphModelWithoutNodes:
     """
     Get Agent Graph from Store Listing Version ID.
     """

autogpt_platform/backend/backend/data/block.py

@@ -246,7 +246,9 @@ class BlockSchema(BaseModel):
                         f"is not of type {CredentialsMetaInput.__name__}"
                     )
 
-                credentials_fields[field_name].validate_credentials_field_schema(cls)
+                CredentialsMetaInput.validate_credentials_field_schema(
+                    cls.get_field_schema(field_name), field_name
+                )
 
             elif field_name in credentials_fields:
                 raise KeyError(
@@ -317,6 +319,8 @@ class BlockSchema(BaseModel):
                 "credentials_provider": [config.get("provider", "google")],
                 "credentials_types": [config.get("type", "oauth2")],
                 "credentials_scopes": config.get("scopes"),
+                "is_auto_credential": True,
+                "input_field_name": info["field_name"],
             }
             result[kwarg_name] = CredentialsFieldInfo.model_validate(
                 auto_schema, by_alias=True

autogpt_platform/backend/backend/data/graph.py

@@ -3,7 +3,7 @@ import logging
 import uuid
 from collections import defaultdict
 from datetime import datetime, timezone
-from typing import TYPE_CHECKING, Annotated, Any, Literal, Optional, cast
+from typing import TYPE_CHECKING, Annotated, Any, Literal, Optional, Self, cast
 
 from prisma.enums import SubmissionStatus
 from prisma.models import (
@@ -20,7 +20,7 @@ from prisma.types import (
     AgentNodeLinkCreateInput,
     StoreListingVersionWhereInput,
 )
-from pydantic import BaseModel, BeforeValidator, Field, create_model
+from pydantic import BaseModel, BeforeValidator, Field
 from pydantic.fields import computed_field
 
 from backend.blocks.agent import AgentExecutorBlock
@@ -30,7 +30,6 @@ from backend.data.db import prisma as db
 from backend.data.dynamic_fields import is_tool_pin, sanitize_pin_name
 from backend.data.includes import MAX_GRAPH_VERSIONS_FETCH
 from backend.data.model import (
-    CredentialsField,
     CredentialsFieldInfo,
     CredentialsMetaInput,
     is_credentials_field_name,
@@ -45,7 +44,6 @@ from .block import (
     AnyBlockSchema,
     Block,
     BlockInput,
-    BlockSchema,
     BlockType,
     EmptySchema,
     get_block,
@@ -113,10 +111,12 @@ class Link(BaseDbModel):
 
 class Node(BaseDbModel):
     block_id: str
-    input_default: BlockInput = {}  # dict[input_name, default_value]
+    input_default: BlockInput = Field(  # dict[input_name, default_value]
-    metadata: dict[str, Any] = {}
+        default_factory=dict
-    input_links: list[Link] = []
+    )
-    output_links: list[Link] = []
+    metadata: dict[str, Any] = Field(default_factory=dict)
+    input_links: list[Link] = Field(default_factory=list)
+    output_links: list[Link] = Field(default_factory=list)
 
     @property
     def credentials_optional(self) -> bool:
@@ -221,18 +221,33 @@ class NodeModel(Node):
         return result
 
 
-class BaseGraph(BaseDbModel):
+class GraphBaseMeta(BaseDbModel):
+    """
+    Shared base for `GraphMeta` and `BaseGraph`, with core graph metadata fields.
+    """
+
     version: int = 1
     is_active: bool = True
     name: str
     description: str
     instructions: str | None = None
     recommended_schedule_cron: str | None = None
-    nodes: list[Node] = []
-    links: list[Link] = []
     forked_from_id: str | None = None
     forked_from_version: int | None = None
 
+
+class BaseGraph(GraphBaseMeta):
+    """
+    Graph with nodes, links, and computed I/O schema fields.
+
+    Used to represent sub-graphs within a `Graph`. Contains the full graph
+    structure including nodes and links, plus computed fields for schemas
+    and trigger info. Does NOT include user_id or created_at (see GraphModel).
+    """
+
+    nodes: list[Node] = Field(default_factory=list)
+    links: list[Link] = Field(default_factory=list)
+
     @computed_field
     @property
     def input_schema(self) -> dict[str, Any]:
@@ -361,44 +376,78 @@ class GraphTriggerInfo(BaseModel):
 
 
 class Graph(BaseGraph):
-    sub_graphs: list[BaseGraph] = []  # Flattened sub-graphs
+    """Creatable graph model used in API create/update endpoints."""
+
+    sub_graphs: list[BaseGraph] = Field(default_factory=list)  # Flattened sub-graphs
+
+
+class GraphMeta(GraphBaseMeta):
+    """
+    Lightweight graph metadata model representing an existing graph from the database,
+    for use in listings and summaries.
+
+    Lacks `GraphModel`'s nodes, links, and expensive computed fields.
+    Use for list endpoints where full graph data is not needed and performance matters.
+    """
+
+    id: str  # type: ignore
+    version: int  # type: ignore
+    user_id: str
+    created_at: datetime
+
+    @classmethod
+    def from_db(cls, graph: "AgentGraph") -> Self:
+        return cls(
+            id=graph.id,
+            version=graph.version,
+            is_active=graph.isActive,
+            name=graph.name or "",
+            description=graph.description or "",
+            instructions=graph.instructions,
+            recommended_schedule_cron=graph.recommendedScheduleCron,
+            forked_from_id=graph.forkedFromId,
+            forked_from_version=graph.forkedFromVersion,
+            user_id=graph.userId,
+            created_at=graph.createdAt,
+        )
+
+
+class GraphModel(Graph, GraphMeta):
+    """
+    Full graph model representing an existing graph from the database.
+
+    This is the primary model for working with persisted graphs. Includes all
+    graph data (nodes, links, sub_graphs) plus user ownership and timestamps.
+    Provides computed fields (input_schema, output_schema, etc.) used during
+    set-up (frontend) and execution (backend).
+
+    Inherits from:
+    - `Graph`: provides structure (nodes, links, sub_graphs) and computed schemas
+    - `GraphMeta`: provides user_id, created_at for database records
+    """
+
+    nodes: list[NodeModel] = Field(default_factory=list)  # type: ignore
+
+    @property
+    def starting_nodes(self) -> list[NodeModel]:
+        outbound_nodes = {link.sink_id for link in self.links}
+        input_nodes = {
+            node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
+        }
+        return [
+            node
+            for node in self.nodes
+            if node.id not in outbound_nodes or node.id in input_nodes
+        ]
+
+    @property
+    def webhook_input_node(self) -> NodeModel | None:  # type: ignore
+        return cast(NodeModel, super().webhook_input_node)
 
     @computed_field
     @property
     def credentials_input_schema(self) -> dict[str, Any]:
-        schema = self._credentials_input_schema.jsonschema()
+        graph_credentials_inputs = self.regular_credentials_inputs
-
-        # Determine which credential fields are required based on credentials_optional metadata
-        graph_credentials_inputs = self.aggregate_credentials_inputs()
-        required_fields = []
-
-        # Build a map of node_id -> node for quick lookup
-        all_nodes = {node.id: node for node in self.nodes}
-        for sub_graph in self.sub_graphs:
-            for node in sub_graph.nodes:
-                all_nodes[node.id] = node
-
-        for field_key, (
-            _field_info,
-            node_field_pairs,
-        ) in graph_credentials_inputs.items():
-            # A field is required if ANY node using it has credentials_optional=False
-            is_required = False
-            for node_id, _field_name in node_field_pairs:
-                node = all_nodes.get(node_id)
-                if node and not node.credentials_optional:
-                    is_required = True
-                    break
-
-            if is_required:
-                required_fields.append(field_key)
-
-        schema["required"] = required_fields
-        return schema
-
-    @property
-    def _credentials_input_schema(self) -> type[BlockSchema]:
-        graph_credentials_inputs = self.aggregate_credentials_inputs()
         logger.debug(
             f"Combined credentials input fields for graph #{self.id} ({self.name}): "
             f"{graph_credentials_inputs}"
@@ -406,8 +455,8 @@ class Graph(BaseGraph):
 
         # Warn if same-provider credentials inputs can't be combined (= bad UX)
         graph_cred_fields = list(graph_credentials_inputs.values())
-        for i, (field, keys) in enumerate(graph_cred_fields):
+        for i, (field, keys, _) in enumerate(graph_cred_fields):
-            for other_field, other_keys in list(graph_cred_fields)[i + 1 :]:
+            for other_field, other_keys, _ in list(graph_cred_fields)[i + 1 :]:
                 if field.provider != other_field.provider:
                     continue
                 if ProviderName.HTTP in field.provider:
@@ -423,31 +472,78 @@ class Graph(BaseGraph):
                     f"keys: {keys} <> {other_keys}."
                 )
 
-        fields: dict[str, tuple[type[CredentialsMetaInput], CredentialsMetaInput]] = {
+        # Build JSON schema directly to avoid expensive create_model + validation overhead
-            agg_field_key: (
+        properties = {}
-                CredentialsMetaInput[
+        required_fields = []
-                    Literal[tuple(field_info.provider)],  # type: ignore
-                    Literal[tuple(field_info.supported_types)],  # type: ignore
-                ],
-                CredentialsField(
-                    required_scopes=set(field_info.required_scopes or []),
-                    discriminator=field_info.discriminator,
-                    discriminator_mapping=field_info.discriminator_mapping,
-                    discriminator_values=field_info.discriminator_values,
-                ),
-            )
-            for agg_field_key, (field_info, _) in graph_credentials_inputs.items()
-        }
 
-        return create_model(
+        for agg_field_key, (
-            self.name.replace(" ", "") + "CredentialsInputSchema",
+            field_info,
-            __base__=BlockSchema,
+            _,
-            **fields,  # type: ignore
+            is_required,
-        )
+        ) in graph_credentials_inputs.items():
+            providers = list(field_info.provider)
+            cred_types = list(field_info.supported_types)
+
+            field_schema: dict[str, Any] = {
+                "credentials_provider": providers,
+                "credentials_types": cred_types,
+                "type": "object",
+                "properties": {
+                    "id": {"title": "Id", "type": "string"},
+                    "title": {
+                        "anyOf": [{"type": "string"}, {"type": "null"}],
+                        "default": None,
+                        "title": "Title",
+                    },
+                    "provider": {
+                        "title": "Provider",
+                        "type": "string",
+                        **(
+                            {"enum": providers}
+                            if len(providers) > 1
+                            else {"const": providers[0]}
+                        ),
+                    },
+                    "type": {
+                        "title": "Type",
+                        "type": "string",
+                        **(
+                            {"enum": cred_types}
+                            if len(cred_types) > 1
+                            else {"const": cred_types[0]}
+                        ),
+                    },
+                },
+                "required": ["id", "provider", "type"],
+            }
+
+            # Add other (optional) field info items
+            field_schema.update(
+                field_info.model_dump(
+                    by_alias=True,
+                    exclude_defaults=True,
+                    exclude={"provider", "supported_types"},  # already included above
+                )
+            )
+
+            # Ensure field schema is well-formed
+            CredentialsMetaInput.validate_credentials_field_schema(
+                field_schema, agg_field_key
+            )
+
+            properties[agg_field_key] = field_schema
+            if is_required:
+                required_fields.append(agg_field_key)
+
+        return {
+            "type": "object",
+            "properties": properties,
+            "required": required_fields,
+        }
 
     def aggregate_credentials_inputs(
         self,
-    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]]]]:
+    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]], bool]]:
         """
         Returns:
             dict[aggregated_field_key, tuple(
@@ -455,13 +551,19 @@ class Graph(BaseGraph):
                     (now includes discriminator_values from matching nodes)
                 set[(node_id, field_name)]: Node credentials fields that are
                     compatible with this aggregated field spec
+                bool: True if the field is required (any node has credentials_optional=False)
             )]
         """
         # First collect all credential field data with input defaults
-        node_credential_data = []
+        # Track (field_info, (node_id, field_name), is_required) for each credential field
+        node_credential_data: list[tuple[CredentialsFieldInfo, tuple[str, str]]] = []
+        node_required_map: dict[str, bool] = {}  # node_id -> is_required
 
         for graph in [self] + self.sub_graphs:
             for node in graph.nodes:
+                # Track if this node requires credentials (credentials_optional=False means required)
+                node_required_map[node.id] = not node.credentials_optional
+
                 for (
                     field_name,
                     field_info,
@@ -485,37 +587,43 @@ class Graph(BaseGraph):
                     )
 
         # Combine credential field info (this will merge discriminator_values automatically)
-        return CredentialsFieldInfo.combine(*node_credential_data)
+        combined = CredentialsFieldInfo.combine(*node_credential_data)
 
-
+        # Add is_required flag to each aggregated field
-class GraphModel(Graph):
+        # A field is required if ANY node using it has credentials_optional=False
-    user_id: str
+        return {
-    nodes: list[NodeModel] = []  # type: ignore
+            key: (
-
+                field_info,
-    created_at: datetime
+                node_field_pairs,
-
+                any(
-    @property
+                    node_required_map.get(node_id, True)
-    def starting_nodes(self) -> list[NodeModel]:
+                    for node_id, _ in node_field_pairs
-        outbound_nodes = {link.sink_id for link in self.links}
+                ),
-        input_nodes = {
+            )
-            node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
+            for key, (field_info, node_field_pairs) in combined.items()
         }
-        return [
-            node
-            for node in self.nodes
-            if node.id not in outbound_nodes or node.id in input_nodes
-        ]
 
     @property
-    def webhook_input_node(self) -> NodeModel | None:  # type: ignore
+    def regular_credentials_inputs(
-        return cast(NodeModel, super().webhook_input_node)
+        self,
+    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]], bool]]:
+        """Credentials that need explicit user mapping (CredentialsMetaInput fields)."""
+        return {
+            k: v
+            for k, v in self.aggregate_credentials_inputs().items()
+            if not v[0].is_auto_credential
+        }
 
-    def meta(self) -> "GraphMeta":
+    @property
-        """
+    def auto_credentials_inputs(
-        Returns a GraphMeta object with metadata about the graph.
+        self,
-        This is used to return metadata about the graph without exposing nodes and links.
+    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]], bool]]:
-        """
+        """Credentials embedded in file fields (_credentials_id), resolved at execution time."""
-        return GraphMeta.from_graph(self)
+        return {
+            k: v
+            for k, v in self.aggregate_credentials_inputs().items()
+            if v[0].is_auto_credential
+        }
 
     def reassign_ids(self, user_id: str, reassign_graph_id: bool = False):
         """
@@ -567,6 +675,16 @@ class GraphModel(Graph):
             ) and graph_id in graph_id_map:
                 node.input_default["graph_id"] = graph_id_map[graph_id]
 
+        # Clear auto-credentials references (e.g., _credentials_id in
+        # GoogleDriveFile fields) so the new user must re-authenticate
+        # with their own account
+        for node in graph.nodes:
+            if not node.input_default:
+                continue
+            for key, value in node.input_default.items():
+                if isinstance(value, dict) and "_credentials_id" in value:
+                    del value["_credentials_id"]
+
     def validate_graph(
         self,
         for_run: bool = False,
@@ -799,13 +917,14 @@ class GraphModel(Graph):
             if is_static_output_block(link.source_id):
                 link.is_static = True  # Each value block output should be static.
 
-    @staticmethod
+    @classmethod
-    def from_db(
+    def from_db(  # type: ignore[reportIncompatibleMethodOverride]
+        cls,
         graph: AgentGraph,
         for_export: bool = False,
         sub_graphs: list[AgentGraph] | None = None,
-    ) -> "GraphModel":
+    ) -> Self:
-        return GraphModel(
+        return cls(
             id=graph.id,
             user_id=graph.userId if not for_export else "",
             version=graph.version,
@@ -831,17 +950,28 @@ class GraphModel(Graph):
             ],
         )
 
+    def hide_nodes(self) -> "GraphModelWithoutNodes":
+        """
+        Returns a copy of the `GraphModel` with nodes, links, and sub-graphs hidden
+        (excluded from serialization). They are still present in the model instance
+        so all computed fields (e.g. `credentials_input_schema`) still work.
+        """
+        return GraphModelWithoutNodes.model_validate(self, from_attributes=True)
 
-class GraphMeta(Graph):
-    user_id: str
 
-    # Easy work-around to prevent exposing nodes and links in the API response
+class GraphModelWithoutNodes(GraphModel):
-    nodes: list[NodeModel] = Field(default=[], exclude=True)  # type: ignore
+    """
-    links: list[Link] = Field(default=[], exclude=True)
+    GraphModel variant that excludes nodes, links, and sub-graphs from serialization.
 
-    @staticmethod
+    Used in contexts like the store where exposing internal graph structure
-    def from_graph(graph: GraphModel) -> "GraphMeta":
+    is not desired. Inherits all computed fields from GraphModel but marks
-        return GraphMeta(**graph.model_dump())
+    nodes and links as excluded from JSON output.
+    """
+
+    nodes: list[NodeModel] = Field(default_factory=list, exclude=True)
+    links: list[Link] = Field(default_factory=list, exclude=True)
+
+    sub_graphs: list[BaseGraph] = Field(default_factory=list, exclude=True)
 
 
 class GraphsPaginated(BaseModel):
@@ -912,21 +1042,11 @@ async def list_graphs_paginated(
         where=where_clause,
         distinct=["id"],
         order={"version": "desc"},
-        include=AGENT_GRAPH_INCLUDE,
         skip=offset,
         take=page_size,
     )
 
-    graph_models: list[GraphMeta] = []
+    graph_models = [GraphMeta.from_db(graph) for graph in graphs]
-    for graph in graphs:
-        try:
-            graph_meta = GraphModel.from_db(graph).meta()
-            # Trigger serialization to validate that the graph is well formed
-            graph_meta.model_dump()
-            graph_models.append(graph_meta)
-        except Exception as e:
-            logger.error(f"Error processing graph {graph.id}: {e}")
-            continue
 
     return GraphsPaginated(
         graphs=graph_models,

autogpt_platform/backend/backend/data/graph_test.py

@@ -463,3 +463,328 @@ def test_node_credentials_optional_with_other_metadata():
     assert node.credentials_optional is True
     assert node.metadata["position"] == {"x": 100, "y": 200}
     assert node.metadata["customized_name"] == "My Custom Node"
+
+
+# ============================================================================
+# Tests for _reassign_ids credential clearing (Fix 3: SECRT-1772)
+def test_combine_preserves_is_auto_credential_flag():
+    """
+    CredentialsFieldInfo.combine() must propagate is_auto_credential and
+    input_field_name to the combined result. Regression test for reviewer
+    finding that combine() dropped these fields.
+    """
+    from backend.data.model import CredentialsFieldInfo
+
+    auto_field = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["google"],
+            "credentials_types": ["oauth2"],
+            "credentials_scopes": ["drive.readonly"],
+            "is_auto_credential": True,
+            "input_field_name": "spreadsheet",
+        },
+        by_alias=True,
+    )
+
+    # combine() takes *args of (field_info, key) tuples
+    combined = CredentialsFieldInfo.combine(
+        (auto_field, ("node-1", "credentials")),
+        (auto_field, ("node-2", "credentials")),
+    )
+
+    assert len(combined) == 1
+    group_key = next(iter(combined))
+    combined_info, combined_keys = combined[group_key]
+
+    assert combined_info.is_auto_credential is True
+    assert combined_info.input_field_name == "spreadsheet"
+    assert combined_keys == {("node-1", "credentials"), ("node-2", "credentials")}
+
+
+def test_combine_preserves_regular_credential_defaults():
+    """Regular credentials should have is_auto_credential=False after combine()."""
+    from backend.data.model import CredentialsFieldInfo
+
+    regular_field = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["github"],
+            "credentials_types": ["api_key"],
+            "is_auto_credential": False,
+        },
+        by_alias=True,
+    )
+
+    combined = CredentialsFieldInfo.combine(
+        (regular_field, ("node-1", "credentials")),
+    )
+
+    group_key = next(iter(combined))
+    combined_info, _ = combined[group_key]
+
+    assert combined_info.is_auto_credential is False
+    assert combined_info.input_field_name is None
+
+
+# ============================================================================
+
+
+def test_reassign_ids_clears_credentials_id():
+    """
+    [SECRT-1772] _reassign_ids should clear _credentials_id from
+    GoogleDriveFile-style input_default fields so forked agents
+    don't retain the original creator's credential references.
+    """
+    from backend.data.graph import GraphModel
+
+    node = Node(
+        id="node-1",
+        block_id=StoreValueBlock().id,
+        input_default={
+            "spreadsheet": {
+                "_credentials_id": "original-cred-id",
+                "id": "file-123",
+                "name": "test.xlsx",
+                "mimeType": "application/vnd.google-apps.spreadsheet",
+                "url": "https://docs.google.com/spreadsheets/d/file-123",
+            },
+        },
+    )
+
+    graph = Graph(
+        id="test-graph",
+        name="Test",
+        description="Test",
+        nodes=[node],
+        links=[],
+    )
+
+    GraphModel._reassign_ids(graph, user_id="new-user", graph_id_map={})
+
+    # _credentials_id key should be removed (not set to None) so that
+    # _acquire_auto_credentials correctly errors instead of treating it as chained data
+    assert "_credentials_id" not in graph.nodes[0].input_default["spreadsheet"]
+
+
+def test_reassign_ids_preserves_non_credential_fields():
+    """
+    Regression guard: _reassign_ids should NOT modify non-credential fields
+    like name, mimeType, id, url.
+    """
+    from backend.data.graph import GraphModel
+
+    node = Node(
+        id="node-1",
+        block_id=StoreValueBlock().id,
+        input_default={
+            "spreadsheet": {
+                "_credentials_id": "cred-abc",
+                "id": "file-123",
+                "name": "test.xlsx",
+                "mimeType": "application/vnd.google-apps.spreadsheet",
+                "url": "https://docs.google.com/spreadsheets/d/file-123",
+            },
+        },
+    )
+
+    graph = Graph(
+        id="test-graph",
+        name="Test",
+        description="Test",
+        nodes=[node],
+        links=[],
+    )
+
+    GraphModel._reassign_ids(graph, user_id="new-user", graph_id_map={})
+
+    field = graph.nodes[0].input_default["spreadsheet"]
+    assert field["id"] == "file-123"
+    assert field["name"] == "test.xlsx"
+    assert field["mimeType"] == "application/vnd.google-apps.spreadsheet"
+    assert field["url"] == "https://docs.google.com/spreadsheets/d/file-123"
+
+
+def test_reassign_ids_handles_no_credentials():
+    """
+    Regression guard: _reassign_ids should not error when input_default
+    has no dict fields with _credentials_id.
+    """
+    from backend.data.graph import GraphModel
+
+    node = Node(
+        id="node-1",
+        block_id=StoreValueBlock().id,
+        input_default={
+            "input": "some value",
+            "another_input": 42,
+        },
+    )
+
+    graph = Graph(
+        id="test-graph",
+        name="Test",
+        description="Test",
+        nodes=[node],
+        links=[],
+    )
+
+    GraphModel._reassign_ids(graph, user_id="new-user", graph_id_map={})
+
+    # Should not error, fields unchanged
+    assert graph.nodes[0].input_default["input"] == "some value"
+    assert graph.nodes[0].input_default["another_input"] == 42
+
+
+def test_reassign_ids_handles_multiple_credential_fields():
+    """
+    [SECRT-1772] When a node has multiple dict fields with _credentials_id,
+    ALL of them should be cleared.
+    """
+    from backend.data.graph import GraphModel
+
+    node = Node(
+        id="node-1",
+        block_id=StoreValueBlock().id,
+        input_default={
+            "spreadsheet": {
+                "_credentials_id": "cred-1",
+                "id": "file-1",
+                "name": "file1.xlsx",
+            },
+            "doc_file": {
+                "_credentials_id": "cred-2",
+                "id": "file-2",
+                "name": "file2.docx",
+            },
+            "plain_input": "not a dict",
+        },
+    )
+
+    graph = Graph(
+        id="test-graph",
+        name="Test",
+        description="Test",
+        nodes=[node],
+        links=[],
+    )
+
+    GraphModel._reassign_ids(graph, user_id="new-user", graph_id_map={})
+
+    assert "_credentials_id" not in graph.nodes[0].input_default["spreadsheet"]
+    assert "_credentials_id" not in graph.nodes[0].input_default["doc_file"]
+    assert graph.nodes[0].input_default["plain_input"] == "not a dict"
+
+
+# ============================================================================
+# Tests for discriminate() field propagation
+def test_discriminate_preserves_is_auto_credential_flag():
+    """
+    CredentialsFieldInfo.discriminate() must propagate is_auto_credential and
+    input_field_name to the discriminated result. Regression test for
+    discriminate() dropping these fields (same class of bug as combine()).
+    """
+    from backend.data.model import CredentialsFieldInfo
+
+    auto_field = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["google", "openai"],
+            "credentials_types": ["oauth2"],
+            "credentials_scopes": ["drive.readonly"],
+            "is_auto_credential": True,
+            "input_field_name": "spreadsheet",
+            "discriminator": "model",
+            "discriminator_mapping": {"gpt-4": "openai", "gemini": "google"},
+        },
+        by_alias=True,
+    )
+
+    discriminated = auto_field.discriminate("gemini")
+
+    assert discriminated.is_auto_credential is True
+    assert discriminated.input_field_name == "spreadsheet"
+    assert discriminated.provider == frozenset(["google"])
+
+
+def test_discriminate_preserves_regular_credential_defaults():
+    """Regular credentials should have is_auto_credential=False after discriminate()."""
+    from backend.data.model import CredentialsFieldInfo
+
+    regular_field = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["google", "openai"],
+            "credentials_types": ["api_key"],
+            "is_auto_credential": False,
+            "discriminator": "model",
+            "discriminator_mapping": {"gpt-4": "openai", "gemini": "google"},
+        },
+        by_alias=True,
+    )
+
+    discriminated = regular_field.discriminate("gpt-4")
+
+    assert discriminated.is_auto_credential is False
+    assert discriminated.input_field_name is None
+    assert discriminated.provider == frozenset(["openai"])
+
+
+# ============================================================================
+# Tests for credentials_input_schema excluding auto_credentials
+def test_credentials_input_schema_excludes_auto_creds():
+    """
+    GraphModel.credentials_input_schema should exclude auto_credentials
+    (is_auto_credential=True) from the schema. Auto_credentials are
+    transparently resolved at execution time via file picker data.
+    """
+    from datetime import datetime, timezone
+    from unittest.mock import PropertyMock, patch
+
+    from backend.data.graph import GraphModel, NodeModel
+    from backend.data.model import CredentialsFieldInfo
+
+    regular_field_info = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["github"],
+            "credentials_types": ["api_key"],
+            "is_auto_credential": False,
+        },
+        by_alias=True,
+    )
+
+    graph = GraphModel(
+        id="test-graph",
+        version=1,
+        name="Test",
+        description="Test",
+        user_id="test-user",
+        created_at=datetime.now(timezone.utc),
+        nodes=[
+            NodeModel(
+                id="node-1",
+                block_id=StoreValueBlock().id,
+                input_default={},
+                graph_id="test-graph",
+                graph_version=1,
+            ),
+        ],
+        links=[],
+    )
+
+    # Mock regular_credentials_inputs to return only the non-auto field (3-tuple)
+    regular_only = {
+        "github_credentials": (
+            regular_field_info,
+            {("node-1", "credentials")},
+            True,
+        ),
+    }
+
+    with patch.object(
+        type(graph),
+        "regular_credentials_inputs",
+        new_callable=PropertyMock,
+        return_value=regular_only,
+    ):
+        schema = graph.credentials_input_schema
+        field_names = set(schema.get("properties", {}).keys())
+        # Should include regular credential but NOT auto_credential
+        assert "github_credentials" in field_names
+        assert "google_credentials" not in field_names

autogpt_platform/backend/backend/data/model.py

@@ -163,7 +163,6 @@ class User(BaseModel):
 if TYPE_CHECKING:
     from prisma.models import User as PrismaUser
 
-    from backend.data.block import BlockSchema
 
 T = TypeVar("T")
 logger = logging.getLogger(__name__)
@@ -508,15 +507,13 @@ class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
     def allowed_cred_types(cls) -> tuple[CredentialsType, ...]:
         return get_args(cls.model_fields["type"].annotation)
 
-    @classmethod
+    @staticmethod
-    def validate_credentials_field_schema(cls, model: type["BlockSchema"]):
+    def validate_credentials_field_schema(
+        field_schema: dict[str, Any], field_name: str
+    ):
         """Validates the schema of a credentials input field"""
-        field_name = next(
-            name for name, type in model.get_credentials_fields().items() if type is cls
-        )
-        field_schema = model.jsonschema()["properties"][field_name]
         try:
-            schema_extra = CredentialsFieldInfo[CP, CT].model_validate(field_schema)
+            field_info = CredentialsFieldInfo[CP, CT].model_validate(field_schema)
         except ValidationError as e:
             if "Field required [type=missing" not in str(e):
                 raise
@@ -526,11 +523,11 @@ class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
                 f"{field_schema}"
             ) from e
 
-        providers = cls.allowed_providers()
+        providers = field_info.provider
         if (
             providers is not None
             and len(providers) > 1
-            and not schema_extra.discriminator
+            and not field_info.discriminator
         ):
             raise TypeError(
                 f"Multi-provider CredentialsField '{field_name}' "
@@ -574,6 +571,8 @@ class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
     discriminator: Optional[str] = None
     discriminator_mapping: Optional[dict[str, CP]] = None
     discriminator_values: set[Any] = Field(default_factory=set)
+    is_auto_credential: bool = False
+    input_field_name: Optional[str] = None
 
     @classmethod
     def combine(
@@ -654,6 +653,9 @@ class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
                 + "_credentials"
             )
 
+            # Propagate is_auto_credential from the combined field.
+            # All fields in a group should share the same is_auto_credential
+            # value since auto and regular credentials serve different purposes.
             result[group_key] = (
                 CredentialsFieldInfo[CP, CT](
                     credentials_provider=combined.provider,
@@ -662,6 +664,8 @@ class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
                     discriminator=combined.discriminator,
                     discriminator_mapping=combined.discriminator_mapping,
                     discriminator_values=set(all_discriminator_values),
+                    is_auto_credential=combined.is_auto_credential,
+                    input_field_name=combined.input_field_name,
                 ),
                 combined_keys,
             )
@@ -687,6 +691,8 @@ class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
             discriminator=self.discriminator,
             discriminator_mapping=self.discriminator_mapping,
             discriminator_values=self.discriminator_values,
+            is_auto_credential=self.is_auto_credential,
+            input_field_name=self.input_field_name,
         )
 
 

autogpt_platform/backend/backend/executor/manager.py

@@ -172,6 +172,81 @@ def execute_graph(
 T = TypeVar("T")
 
 
+async def _acquire_auto_credentials(
+    input_model: type[BlockSchema],
+    input_data: dict[str, Any],
+    creds_manager: "IntegrationCredentialsManager",
+    user_id: str,
+) -> tuple[dict[str, Any], list[AsyncRedisLock]]:
+    """
+    Resolve auto_credentials from GoogleDriveFileField-style inputs.
+
+    Returns:
+        (extra_exec_kwargs, locks): kwargs to inject into block execution, and
+        credential locks to release after execution completes.
+    """
+    extra_exec_kwargs: dict[str, Any] = {}
+    locks: list[AsyncRedisLock] = []
+
+    # NOTE: If a block ever has multiple auto-credential fields, a ValueError
+    # on a later field will strand locks acquired for earlier fields. They'll
+    # auto-expire via Redis TTL, but add a try/except to release partial locks
+    # if that becomes a real scenario.
+    for kwarg_name, info in input_model.get_auto_credentials_fields().items():
+        field_name = info["field_name"]
+        field_data = input_data.get(field_name)
+
+        if field_data and isinstance(field_data, dict):
+            # Check if _credentials_id key exists in the field data
+            if "_credentials_id" in field_data:
+                cred_id = field_data["_credentials_id"]
+                if cred_id:
+                    # Credential ID provided - acquire credentials
+                    provider = info.get("config", {}).get(
+                        "provider", "external service"
+                    )
+                    file_name = field_data.get("name", "selected file")
+                    try:
+                        credentials, lock = await creds_manager.acquire(
+                            user_id, cred_id
+                        )
+                        locks.append(lock)
+                        extra_exec_kwargs[kwarg_name] = credentials
+                    except ValueError:
+                        raise ValueError(
+                            f"{provider.capitalize()} credentials for "
+                            f"'{file_name}' in field '{field_name}' are not "
+                            f"available in your account. "
+                            f"This can happen if the agent was created by another "
+                            f"user or the credentials were deleted. "
+                            f"Please open the agent in the builder and re-select "
+                            f"the file to authenticate with your own account."
+                        )
+                # else: _credentials_id is explicitly None, skip (chained data)
+            else:
+                # _credentials_id key missing entirely - this is an error
+                provider = info.get("config", {}).get("provider", "external service")
+                file_name = field_data.get("name", "selected file")
+                raise ValueError(
+                    f"Authentication missing for '{file_name}' in field "
+                    f"'{field_name}'. Please re-select the file to authenticate "
+                    f"with {provider.capitalize()}."
+                )
+        elif field_data is None and field_name not in input_data:
+            # Field not in input_data at all = connected from upstream block, skip
+            pass
+        else:
+            # field_data is None/empty but key IS in input_data = user didn't select
+            provider = info.get("config", {}).get("provider", "external service")
+            raise ValueError(
+                f"No file selected for '{field_name}'. "
+                f"Please select a file to provide "
+                f"{provider.capitalize()} authentication."
+            )
+
+    return extra_exec_kwargs, locks
+
+
 async def execute_node(
     node: Node,
     data: NodeExecutionEntry,
@@ -271,41 +346,14 @@ async def execute_node(
         extra_exec_kwargs[field_name] = credentials
 
     # Handle auto-generated credentials (e.g., from GoogleDriveFileInput)
-    for kwarg_name, info in input_model.get_auto_credentials_fields().items():
+    auto_extra_kwargs, auto_locks = await _acquire_auto_credentials(
-        field_name = info["field_name"]
+        input_model=input_model,
-        field_data = input_data.get(field_name)
+        input_data=input_data,
-        if field_data and isinstance(field_data, dict):
+        creds_manager=creds_manager,
-            # Check if _credentials_id key exists in the field data
+        user_id=user_id,
-            if "_credentials_id" in field_data:
+    )
-                cred_id = field_data["_credentials_id"]
+    extra_exec_kwargs.update(auto_extra_kwargs)
-                if cred_id:
+    creds_locks.extend(auto_locks)
-                    # Credential ID provided - acquire credentials
-                    provider = info.get("config", {}).get(
-                        "provider", "external service"
-                    )
-                    file_name = field_data.get("name", "selected file")
-                    try:
-                        credentials, lock = await creds_manager.acquire(
-                            user_id, cred_id
-                        )
-                        creds_locks.append(lock)
-                        extra_exec_kwargs[kwarg_name] = credentials
-                    except ValueError:
-                        # Credential was deleted or doesn't exist
-                        raise ValueError(
-                            f"Authentication expired for '{file_name}' in field '{field_name}'. "
-                            f"The saved {provider.capitalize()} credentials no longer exist. "
-                            f"Please re-select the file to re-authenticate."
-                        )
-                # else: _credentials_id is explicitly None, skip credentials (for chained data)
-            else:
-                # _credentials_id key missing entirely - this is an error
-                provider = info.get("config", {}).get("provider", "external service")
-                file_name = field_data.get("name", "selected file")
-                raise ValueError(
-                    f"Authentication missing for '{file_name}' in field '{field_name}'. "
-                    f"Please re-select the file to authenticate with {provider.capitalize()}."
-                )
 
     output_size = 0
 

autogpt_platform/backend/backend/executor/manager_auto_credentials_test.py

@@ -0,0 +1,320 @@
+"""
+Tests for auto_credentials handling in execute_node().
+
+These test the _acquire_auto_credentials() helper function extracted from
+execute_node() (manager.py lines 273-308).
+"""
+
+import pytest
+from pytest_mock import MockerFixture
+
+
+@pytest.fixture
+def google_drive_file_data():
+    return {
+        "valid": {
+            "_credentials_id": "cred-id-123",
+            "id": "file-123",
+            "name": "test.xlsx",
+            "mimeType": "application/vnd.google-apps.spreadsheet",
+        },
+        "chained": {
+            "_credentials_id": None,
+            "id": "file-456",
+            "name": "chained.xlsx",
+            "mimeType": "application/vnd.google-apps.spreadsheet",
+        },
+        "missing_key": {
+            "id": "file-789",
+            "name": "bad.xlsx",
+            "mimeType": "application/vnd.google-apps.spreadsheet",
+        },
+    }
+
+
+@pytest.fixture
+def mock_input_model(mocker: MockerFixture):
+    """Create a mock input model with get_auto_credentials_fields() returning one field."""
+    input_model = mocker.MagicMock()
+    input_model.get_auto_credentials_fields.return_value = {
+        "credentials": {
+            "field_name": "spreadsheet",
+            "config": {
+                "provider": "google",
+                "type": "oauth2",
+                "scopes": ["https://www.googleapis.com/auth/drive.readonly"],
+            },
+        }
+    }
+    return input_model
+
+
+@pytest.fixture
+def mock_creds_manager(mocker: MockerFixture):
+    manager = mocker.AsyncMock()
+    mock_lock = mocker.AsyncMock()
+    mock_creds = mocker.MagicMock()
+    mock_creds.id = "cred-id-123"
+    mock_creds.provider = "google"
+    manager.acquire.return_value = (mock_creds, mock_lock)
+    return manager, mock_creds, mock_lock
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_happy_path(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """When field_data has a valid _credentials_id, credentials should be acquired."""
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, mock_creds, mock_lock = mock_creds_manager
+    input_data = {"spreadsheet": google_drive_file_data["valid"]}
+
+    extra_kwargs, locks = await _acquire_auto_credentials(
+        input_model=mock_input_model,
+        input_data=input_data,
+        creds_manager=manager,
+        user_id="user-1",
+    )
+
+    manager.acquire.assert_called_once_with("user-1", "cred-id-123")
+    assert extra_kwargs["credentials"] == mock_creds
+    assert mock_lock in locks
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_field_none_static_raises(
+    mocker: MockerFixture,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    [THE BUG FIX TEST — OPEN-2895]
+    When field_data is None and the key IS in input_data (user didn't select a file),
+    should raise ValueError instead of silently skipping.
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    # Key is present but value is None = user didn't select a file
+    input_data = {"spreadsheet": None}
+
+    with pytest.raises(ValueError, match="No file selected"):
+        await _acquire_auto_credentials(
+            input_model=mock_input_model,
+            input_data=input_data,
+            creds_manager=manager,
+            user_id="user-1",
+        )
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_field_absent_skips(
+    mocker: MockerFixture,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    When the field key is NOT in input_data at all (upstream connection),
+    should skip without error.
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    # Key not present = connected from upstream block
+    input_data = {}
+
+    extra_kwargs, locks = await _acquire_auto_credentials(
+        input_model=mock_input_model,
+        input_data=input_data,
+        creds_manager=manager,
+        user_id="user-1",
+    )
+
+    manager.acquire.assert_not_called()
+    assert "credentials" not in extra_kwargs
+    assert locks == []
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_chained_cred_id_none(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    When _credentials_id is explicitly None (chained data from upstream),
+    should skip credential acquisition.
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    input_data = {"spreadsheet": google_drive_file_data["chained"]}
+
+    extra_kwargs, locks = await _acquire_auto_credentials(
+        input_model=mock_input_model,
+        input_data=input_data,
+        creds_manager=manager,
+        user_id="user-1",
+    )
+
+    manager.acquire.assert_not_called()
+    assert "credentials" not in extra_kwargs
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_missing_cred_id_key_raises(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    When _credentials_id key is missing entirely from field_data dict,
+    should raise ValueError.
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    input_data = {"spreadsheet": google_drive_file_data["missing_key"]}
+
+    with pytest.raises(ValueError, match="Authentication missing"):
+        await _acquire_auto_credentials(
+            input_model=mock_input_model,
+            input_data=input_data,
+            creds_manager=manager,
+            user_id="user-1",
+        )
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_ownership_mismatch_error(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    [SECRT-1772] When acquire() raises ValueError (credential belongs to another user),
+    the error message should mention 'not available' (not 'expired').
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    manager.acquire.side_effect = ValueError(
+        "Credentials #cred-id-123 for user #user-2 not found"
+    )
+    input_data = {"spreadsheet": google_drive_file_data["valid"]}
+
+    with pytest.raises(ValueError, match="not available in your account"):
+        await _acquire_auto_credentials(
+            input_model=mock_input_model,
+            input_data=input_data,
+            creds_manager=manager,
+            user_id="user-2",
+        )
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_deleted_credential_error(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """
+    [SECRT-1772] When acquire() raises ValueError (credential was deleted),
+    the error message should mention 'not available' (not 'expired').
+    """
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, _ = mock_creds_manager
+    manager.acquire.side_effect = ValueError(
+        "Credentials #cred-id-123 for user #user-1 not found"
+    )
+    input_data = {"spreadsheet": google_drive_file_data["valid"]}
+
+    with pytest.raises(ValueError, match="not available in your account"):
+        await _acquire_auto_credentials(
+            input_model=mock_input_model,
+            input_data=input_data,
+            creds_manager=manager,
+            user_id="user-1",
+        )
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_lock_appended(
+    mocker: MockerFixture,
+    google_drive_file_data,
+    mock_input_model,
+    mock_creds_manager,
+):
+    """Lock from acquire() should be included in returned locks list."""
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, _, mock_lock = mock_creds_manager
+    input_data = {"spreadsheet": google_drive_file_data["valid"]}
+
+    extra_kwargs, locks = await _acquire_auto_credentials(
+        input_model=mock_input_model,
+        input_data=input_data,
+        creds_manager=manager,
+        user_id="user-1",
+    )
+
+    assert len(locks) == 1
+    assert locks[0] is mock_lock
+
+
+@pytest.mark.asyncio
+async def test_auto_credentials_multiple_fields(
+    mocker: MockerFixture,
+    mock_creds_manager,
+):
+    """When there are multiple auto_credentials fields, only valid ones should acquire."""
+    from backend.executor.manager import _acquire_auto_credentials
+
+    manager, mock_creds, mock_lock = mock_creds_manager
+
+    input_model = mocker.MagicMock()
+    input_model.get_auto_credentials_fields.return_value = {
+        "credentials": {
+            "field_name": "spreadsheet",
+            "config": {"provider": "google", "type": "oauth2"},
+        },
+        "credentials2": {
+            "field_name": "doc_file",
+            "config": {"provider": "google", "type": "oauth2"},
+        },
+    }
+
+    input_data = {
+        "spreadsheet": {
+            "_credentials_id": "cred-id-123",
+            "id": "file-1",
+            "name": "file1.xlsx",
+        },
+        "doc_file": {
+            "_credentials_id": None,
+            "id": "file-2",
+            "name": "chained.doc",
+        },
+    }
+
+    extra_kwargs, locks = await _acquire_auto_credentials(
+        input_model=input_model,
+        input_data=input_data,
+        creds_manager=manager,
+        user_id="user-1",
+    )
+
+    # Only the first field should have acquired credentials
+    manager.acquire.assert_called_once_with("user-1", "cred-id-123")
+    assert "credentials" in extra_kwargs
+    assert "credentials2" not in extra_kwargs
+    assert len(locks) == 1

autogpt_platform/backend/backend/executor/utils.py

@@ -259,7 +259,8 @@ async def _validate_node_input_credentials(
 
         # Find any fields of type CredentialsMetaInput
         credentials_fields = block.input_schema.get_credentials_fields()
-        if not credentials_fields:
+        auto_credentials_fields = block.input_schema.get_auto_credentials_fields()
+        if not credentials_fields and not auto_credentials_fields:
             continue
 
         # Track if any credential field is missing for this node
@@ -339,6 +340,47 @@ async def _validate_node_input_credentials(
                 ] = "Invalid credentials: type/provider mismatch"
                 continue
 
+        # Validate auto-credentials (GoogleDriveFileField-based)
+        # These have _credentials_id embedded in the file field data
+        if auto_credentials_fields:
+            for _kwarg_name, info in auto_credentials_fields.items():
+                field_name = info["field_name"]
+                # Check input_default and nodes_input_masks for the field value
+                field_value = node.input_default.get(field_name)
+                if nodes_input_masks and node.id in nodes_input_masks:
+                    field_value = nodes_input_masks[node.id].get(
+                        field_name, field_value
+                    )
+
+                if field_value and isinstance(field_value, dict):
+                    if "_credentials_id" not in field_value:
+                        # Key removed (e.g., on fork) — needs re-auth
+                        has_missing_credentials = True
+                        credential_errors[node.id][field_name] = (
+                            "Authentication missing for the selected file. "
+                            "Please re-select the file to authenticate with "
+                            "your own account."
+                        )
+                        continue
+                    cred_id = field_value.get("_credentials_id")
+                    if cred_id and isinstance(cred_id, str):
+                        try:
+                            creds_store = get_integration_credentials_store()
+                            creds = await creds_store.get_creds_by_id(user_id, cred_id)
+                        except Exception as e:
+                            has_missing_credentials = True
+                            credential_errors[node.id][
+                                field_name
+                            ] = f"Credentials not available: {e}"
+                            continue
+                        if not creds:
+                            has_missing_credentials = True
+                            credential_errors[node.id][field_name] = (
+                                "The saved credentials are not available "
+                                "for your account. Please re-select the file to "
+                                "authenticate with your own account."
+                            )
+
         # If node has optional credentials and any are missing, mark for skipping
         # But only if there are no other errors for this node
         if (
@@ -370,10 +412,11 @@ def make_node_credentials_input_map(
     """
     result: dict[str, dict[str, JsonValue]] = {}
 
-    # Get aggregated credentials fields for the graph
+    # Only map regular credentials (not auto_credentials, which are resolved
-    graph_cred_inputs = graph.aggregate_credentials_inputs()
+    # at execution time from _credentials_id in file field data)
+    graph_cred_inputs = graph.regular_credentials_inputs
 
-    for graph_input_name, (_, compatible_node_fields) in graph_cred_inputs.items():
+    for graph_input_name, (_, compatible_node_fields, _) in graph_cred_inputs.items():
         # Best-effort map: skip missing items
         if graph_input_name not in graph_credentials_input:
             continue

autogpt_platform/backend/backend/executor/utils_test.py

@@ -907,3 +907,335 @@ async def test_stop_graph_execution_cascades_to_child_with_reviews(
 
     # Verify both parent and child status updates
     assert mock_execution_db.update_graph_execution_stats.call_count >= 1
+
+
+# ============================================================================
+# Tests for auto_credentials validation in _validate_node_input_credentials
+# (Fix 3: SECRT-1772 + Fix 4: Path 4)
+# ============================================================================
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_auto_creds_valid(
+    mocker: MockerFixture,
+):
+    """
+    [SECRT-1772] When a node has auto_credentials with a valid _credentials_id
+    that exists in the store, validation should pass without errors.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-auto-creds"
+    mock_node.credentials_optional = False
+    mock_node.input_default = {
+        "spreadsheet": {
+            "_credentials_id": "valid-cred-id",
+            "id": "file-123",
+            "name": "test.xlsx",
+        }
+    }
+
+    mock_block = mocker.MagicMock()
+    # No regular credentials fields
+    mock_block.input_schema.get_credentials_fields.return_value = {}
+    # Has auto_credentials fields
+    mock_block.input_schema.get_auto_credentials_fields.return_value = {
+        "credentials": {
+            "field_name": "spreadsheet",
+            "config": {"provider": "google", "type": "oauth2"},
+        }
+    }
+    mock_node.block = mock_block
+
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    # Mock the credentials store to return valid credentials
+    mock_store = mocker.MagicMock()
+    mock_creds = mocker.MagicMock()
+    mock_creds.id = "valid-cred-id"
+    mock_store.get_creds_by_id = mocker.AsyncMock(return_value=mock_creds)
+    mocker.patch(
+        "backend.executor.utils.get_integration_credentials_store",
+        return_value=mock_store,
+    )
+
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="test-user",
+        nodes_input_masks=None,
+    )
+
+    assert mock_node.id not in errors
+    assert mock_node.id not in nodes_to_skip
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_auto_creds_missing(
+    mocker: MockerFixture,
+):
+    """
+    [SECRT-1772] When a node has auto_credentials with a _credentials_id
+    that doesn't exist for the current user, validation should report an error.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-bad-auto-creds"
+    mock_node.credentials_optional = False
+    mock_node.input_default = {
+        "spreadsheet": {
+            "_credentials_id": "other-users-cred-id",
+            "id": "file-123",
+            "name": "test.xlsx",
+        }
+    }
+
+    mock_block = mocker.MagicMock()
+    mock_block.input_schema.get_credentials_fields.return_value = {}
+    mock_block.input_schema.get_auto_credentials_fields.return_value = {
+        "credentials": {
+            "field_name": "spreadsheet",
+            "config": {"provider": "google", "type": "oauth2"},
+        }
+    }
+    mock_node.block = mock_block
+
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    # Mock the credentials store to return None (cred not found for this user)
+    mock_store = mocker.MagicMock()
+    mock_store.get_creds_by_id = mocker.AsyncMock(return_value=None)
+    mocker.patch(
+        "backend.executor.utils.get_integration_credentials_store",
+        return_value=mock_store,
+    )
+
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="different-user",
+        nodes_input_masks=None,
+    )
+
+    assert mock_node.id in errors
+    assert "spreadsheet" in errors[mock_node.id]
+    assert "not available" in errors[mock_node.id]["spreadsheet"].lower()
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_both_regular_and_auto(
+    mocker: MockerFixture,
+):
+    """
+    [SECRT-1772] A node that has BOTH regular credentials AND auto_credentials
+    should have both validated.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-both-creds"
+    mock_node.credentials_optional = False
+    mock_node.input_default = {
+        "credentials": {
+            "id": "regular-cred-id",
+            "provider": "github",
+            "type": "api_key",
+        },
+        "spreadsheet": {
+            "_credentials_id": "auto-cred-id",
+            "id": "file-123",
+            "name": "test.xlsx",
+        },
+    }
+
+    mock_credentials_field_type = mocker.MagicMock()
+    mock_credentials_meta = mocker.MagicMock()
+    mock_credentials_meta.id = "regular-cred-id"
+    mock_credentials_meta.provider = "github"
+    mock_credentials_meta.type = "api_key"
+    mock_credentials_field_type.model_validate.return_value = mock_credentials_meta
+
+    mock_block = mocker.MagicMock()
+    # Regular credentials field
+    mock_block.input_schema.get_credentials_fields.return_value = {
+        "credentials": mock_credentials_field_type,
+    }
+    # Auto-credentials field
+    mock_block.input_schema.get_auto_credentials_fields.return_value = {
+        "auto_credentials": {
+            "field_name": "spreadsheet",
+            "config": {"provider": "google", "type": "oauth2"},
+        }
+    }
+    mock_node.block = mock_block
+
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    # Mock the credentials store to return valid credentials for both
+    mock_store = mocker.MagicMock()
+    mock_regular_creds = mocker.MagicMock()
+    mock_regular_creds.id = "regular-cred-id"
+    mock_regular_creds.provider = "github"
+    mock_regular_creds.type = "api_key"
+
+    mock_auto_creds = mocker.MagicMock()
+    mock_auto_creds.id = "auto-cred-id"
+
+    def get_creds_side_effect(user_id, cred_id):
+        if cred_id == "regular-cred-id":
+            return mock_regular_creds
+        elif cred_id == "auto-cred-id":
+            return mock_auto_creds
+        return None
+
+    mock_store.get_creds_by_id = mocker.AsyncMock(side_effect=get_creds_side_effect)
+    mocker.patch(
+        "backend.executor.utils.get_integration_credentials_store",
+        return_value=mock_store,
+    )
+
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="test-user",
+        nodes_input_masks=None,
+    )
+
+    # Both should validate successfully - no errors
+    assert mock_node.id not in errors
+    assert mock_node.id not in nodes_to_skip
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_auto_creds_skipped_when_none(
+    mocker: MockerFixture,
+):
+    """
+    When a node has auto_credentials but the field value has _credentials_id=None
+    (e.g., from upstream connection), validation should skip it without error.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-chained-auto-creds"
+    mock_node.credentials_optional = False
+    mock_node.input_default = {
+        "spreadsheet": {
+            "_credentials_id": None,
+            "id": "file-123",
+            "name": "test.xlsx",
+        }
+    }
+
+    mock_block = mocker.MagicMock()
+    mock_block.input_schema.get_credentials_fields.return_value = {}
+    mock_block.input_schema.get_auto_credentials_fields.return_value = {
+        "credentials": {
+            "field_name": "spreadsheet",
+            "config": {"provider": "google", "type": "oauth2"},
+        }
+    }
+    mock_node.block = mock_block
+
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="test-user",
+        nodes_input_masks=None,
+    )
+
+    # No error - chained data with None cred_id is valid
+    assert mock_node.id not in errors
+
+
+# ============================================================================
+# Tests for CredentialsFieldInfo auto_credential tag (Fix 4: Path 4)
+# ============================================================================
+
+
+def test_credentials_field_info_auto_credential_tag():
+    """
+    [Path 4] CredentialsFieldInfo should support is_auto_credential and
+    input_field_name fields for distinguishing auto from regular credentials.
+    """
+    from backend.data.model import CredentialsFieldInfo
+
+    # Regular credential should have is_auto_credential=False by default
+    regular = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["github"],
+            "credentials_types": ["api_key"],
+        },
+        by_alias=True,
+    )
+    assert regular.is_auto_credential is False
+    assert regular.input_field_name is None
+
+    # Auto credential should have is_auto_credential=True
+    auto = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["google"],
+            "credentials_types": ["oauth2"],
+            "is_auto_credential": True,
+            "input_field_name": "spreadsheet",
+        },
+        by_alias=True,
+    )
+    assert auto.is_auto_credential is True
+    assert auto.input_field_name == "spreadsheet"
+
+
+def test_make_node_credentials_input_map_excludes_auto_creds(
+    mocker: MockerFixture,
+):
+    """
+    [Path 4] make_node_credentials_input_map should only include regular credentials,
+    not auto_credentials (which are resolved at execution time).
+    """
+    from backend.data.model import CredentialsFieldInfo, CredentialsMetaInput
+    from backend.executor.utils import make_node_credentials_input_map
+    from backend.integrations.providers import ProviderName
+
+    # Create a mock graph with aggregate_credentials_inputs that returns
+    # both regular and auto credentials
+    mock_graph = mocker.MagicMock()
+
+    regular_field_info = CredentialsFieldInfo.model_validate(
+        {
+            "credentials_provider": ["github"],
+            "credentials_types": ["api_key"],
+            "is_auto_credential": False,
+        },
+        by_alias=True,
+    )
+
+    # Mock regular_credentials_inputs property (auto_credentials are excluded)
+    mock_graph.regular_credentials_inputs = {
+        "github_creds": (regular_field_info, {("node-1", "credentials")}, True),
+    }
+
+    graph_credentials_input = {
+        "github_creds": CredentialsMetaInput(
+            id="cred-123",
+            provider=ProviderName("github"),
+            type="api_key",
+        ),
+    }
+
+    result = make_node_credentials_input_map(mock_graph, graph_credentials_input)
+
+    # Regular credentials should be mapped
+    assert "node-1" in result
+    assert "credentials" in result["node-1"]
+
+    # Auto credentials should NOT appear in the result
+    # (they would have been mapped to the kwarg_name "credentials" not "spreadsheet")
+    for node_id, fields in result.items():
+        for field_name, value in fields.items():
+            # Verify no auto-credential phantom entries
+            if isinstance(value, dict):
+                assert "_credentials_id" not in value

autogpt_platform/backend/snapshots/grph_single

@@ -3,7 +3,6 @@
   "credentials_input_schema": {
     "properties": {},
     "required": [],
-    "title": "TestGraphCredentialsInputSchema",
     "type": "object"
   },
   "description": "A test graph",

autogpt_platform/backend/snapshots/grphs_all

@@ -1,34 +1,14 @@
 [
   {
-    "credentials_input_schema": {
+    "created_at": "2025-09-04T13:37:00",
-      "properties": {},
-      "required": [],
-      "title": "TestGraphCredentialsInputSchema",
-      "type": "object"
-    },
     "description": "A test graph",
     "forked_from_id": null,
     "forked_from_version": null,
-    "has_external_trigger": false,
-    "has_human_in_the_loop": false,
-    "has_sensitive_action": false,
     "id": "graph-123",
-    "input_schema": {
-      "properties": {},
-      "required": [],
-      "type": "object"
-    },
     "instructions": null,
     "is_active": true,
     "name": "Test Graph",
-    "output_schema": {
-      "properties": {},
-      "required": [],
-      "type": "object"
-    },
     "recommended_schedule_cron": null,
-    "sub_graphs": [],
-    "trigger_setup_info": null,
     "user_id": "3e53486c-cf57-477e-ba2a-cb02dc828e1a",
     "version": 1
   }

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

@@ -1,5 +1,5 @@
 import { CredentialsMetaInput } from "@/app/api/__generated__/models/credentialsMetaInput";
-import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
+import { GraphModel } from "@/app/api/__generated__/models/graphModel";
 import { CredentialsInput } from "@/components/contextual/CredentialsInput/CredentialsInput";
 import { useState } from "react";
 import { getSchemaDefaultCredentials } from "../../helpers";
@@ -9,7 +9,7 @@ type Credential = CredentialsMetaInput | undefined;
 type Credentials = Record<string, Credential>;
 
 type Props = {
-  agent: GraphMeta | null;
+  agent: GraphModel | null;
   siblingInputs?: Record<string, any>;
   onCredentialsChange: (
     credentials: Record<string, CredentialsMetaInput>,

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

@@ -1,9 +1,9 @@
 import { CredentialsMetaInput } from "@/app/api/__generated__/models/credentialsMetaInput";
-import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
+import { GraphModel } from "@/app/api/__generated__/models/graphModel";
 import { BlockIOCredentialsSubSchema } from "@/lib/autogpt-server-api/types";
 
 export function getCredentialFields(
-  agent: GraphMeta | null,
+  agent: GraphModel | null,
 ): AgentCredentialsFields {
   if (!agent) return {};
 

autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/helpers.ts

@@ -3,10 +3,10 @@ import type {
   CredentialsMetaInput,
 } from "@/lib/autogpt-server-api/types";
 import type { InputValues } from "./types";
-import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
+import { GraphModel } from "@/app/api/__generated__/models/graphModel";
 
 export function computeInitialAgentInputs(
-  agent: GraphMeta | null,
+  agent: GraphModel | null,
   existingInputs?: InputValues | null,
 ): InputValues {
   const properties = agent?.input_schema?.properties || {};
@@ -29,7 +29,7 @@ export function computeInitialAgentInputs(
 }
 
 type IsRunDisabledParams = {
-  agent: GraphMeta | null;
+  agent: GraphModel | null;
   isRunning: boolean;
   agentInputs: InputValues | null | undefined;
 };

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

@@ -30,6 +30,8 @@ import {
 } from "@/components/atoms/Tooltip/BaseTooltip";
 import { GraphMeta } from "@/lib/autogpt-server-api";
 import jaro from "jaro-winkler";
+import { getV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { okData } from "@/app/api/helpers";
 
 type _Block = Omit<Block, "inputSchema" | "outputSchema"> & {
   uiKey?: string;
@@ -107,6 +109,8 @@ export function BlocksControl({
       .filter((b) => b.uiType !== BlockUIType.AGENT)
       .sort((a, b) => a.name.localeCompare(b.name));
 
+    // Agent blocks are created from GraphMeta which doesn't include schemas.
+    // Schemas will be fetched on-demand when the block is actually added.
     const agentBlockList = flows
       .map((flow): _Block => {
         return {
@@ -116,8 +120,9 @@ export function BlocksControl({
             `Ver.${flow.version}` +
             (flow.description ? ` | ${flow.description}` : ""),
           categories: [{ category: "AGENT", description: "" }],
-          inputSchema: flow.input_schema,
+          // Empty schemas - will be populated when block is added
-          outputSchema: flow.output_schema,
+          inputSchema: { type: "object", properties: {} },
+          outputSchema: { type: "object", properties: {} },
           staticOutput: false,
           uiType: BlockUIType.AGENT,
           costs: [],
@@ -125,8 +130,7 @@ export function BlocksControl({
           hardcodedValues: {
             graph_id: flow.id,
             graph_version: flow.version,
-            input_schema: flow.input_schema,
+            // Schemas will be fetched on-demand when block is added
-            output_schema: flow.output_schema,
           },
         };
       })
@@ -182,6 +186,37 @@ export function BlocksControl({
     setSelectedCategory(null);
   }, []);
 
+  // Handler to add a block, fetching graph data on-demand for agent blocks
+  const handleAddBlock = useCallback(
+    async (block: _Block & { notAvailable: string | null }) => {
+      if (block.notAvailable) return;
+
+      // For agent blocks, fetch the full graph to get schemas
+      if (block.uiType === BlockUIType.AGENT && block.hardcodedValues) {
+        const graphID = block.hardcodedValues.graph_id as string;
+        const graphVersion = block.hardcodedValues.graph_version as number;
+        const graphData = okData(
+          await getV1GetSpecificGraph(graphID, { version: graphVersion }),
+        );
+
+        if (graphData) {
+          addBlock(block.id, block.name, {
+            ...block.hardcodedValues,
+            input_schema: graphData.input_schema,
+            output_schema: graphData.output_schema,
+          });
+        } else {
+          // Fallback: add without schemas (will be incomplete)
+          console.error("Failed to fetch graph data for agent block");
+          addBlock(block.id, block.name, block.hardcodedValues || {});
+        }
+      } else {
+        addBlock(block.id, block.name, block.hardcodedValues || {});
+      }
+    },
+    [addBlock],
+  );
+
   // Extract unique categories from blocks
   const categories = useMemo(() => {
     return Array.from(
@@ -303,10 +338,7 @@ export function BlocksControl({
                       }),
                     );
                   }}
-                  onClick={() =>
+                  onClick={() => handleAddBlock(block)}
-                    !block.notAvailable &&
-                    addBlock(block.id, block.name, block?.hardcodedValues || {})
-                  }
                   title={block.notAvailable ?? undefined}
                 >
                   <div

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

@@ -29,13 +29,17 @@ import "@xyflow/react/dist/style.css";
 import { ConnectedEdge, CustomNode } from "../CustomNode/CustomNode";
 import "./flow.css";
 import {
+  BlockIORootSchema,
   BlockUIType,
   formatEdgeID,
   GraphExecutionID,
   GraphID,
   GraphMeta,
   LibraryAgent,
+  SpecialBlockID,
 } from "@/lib/autogpt-server-api";
+import { getV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { okData } from "@/app/api/helpers";
 import { IncompatibilityInfo } from "../../../hooks/useSubAgentUpdate/types";
 import { Key, storage } from "@/services/storage/local-storage";
 import { findNewlyAddedBlockCoordinates, getTypeColor } from "@/lib/utils";
@@ -687,8 +691,94 @@ const FlowEditor: React.FC<{
     [getNode, updateNode, nodes],
   );
 
+  /* Shared helper to create and add a node */
+  const createAndAddNode = useCallback(
+    async (
+      blockID: string,
+      blockName: string,
+      hardcodedValues: Record<string, any>,
+      position: { x: number; y: number },
+    ): Promise<CustomNode | null> => {
+      const nodeSchema = availableBlocks.find((node) => node.id === blockID);
+      if (!nodeSchema) {
+        console.error(`Schema not found for block ID: ${blockID}`);
+        return null;
+      }
+
+      // For agent blocks, fetch the full graph to get schemas
+      let inputSchema: BlockIORootSchema = nodeSchema.inputSchema;
+      let outputSchema: BlockIORootSchema = nodeSchema.outputSchema;
+      let finalHardcodedValues = hardcodedValues;
+
+      if (blockID === SpecialBlockID.AGENT) {
+        const graphID = hardcodedValues.graph_id as string;
+        const graphVersion = hardcodedValues.graph_version as number;
+        const graphData = okData(
+          await getV1GetSpecificGraph(graphID, { version: graphVersion }),
+        );
+
+        if (graphData) {
+          inputSchema = graphData.input_schema as BlockIORootSchema;
+          outputSchema = graphData.output_schema as BlockIORootSchema;
+          finalHardcodedValues = {
+            ...hardcodedValues,
+            input_schema: graphData.input_schema,
+            output_schema: graphData.output_schema,
+          };
+        } else {
+          console.error("Failed to fetch graph data for agent block");
+        }
+      }
+
+      const newNode: CustomNode = {
+        id: nodeId.toString(),
+        type: "custom",
+        position,
+        data: {
+          blockType: blockName,
+          blockCosts: nodeSchema.costs || [],
+          title: `${blockName} ${nodeId}`,
+          description: nodeSchema.description,
+          categories: nodeSchema.categories,
+          inputSchema: inputSchema,
+          outputSchema: outputSchema,
+          hardcodedValues: finalHardcodedValues,
+          connections: [],
+          isOutputOpen: false,
+          block_id: blockID,
+          isOutputStatic: nodeSchema.staticOutput,
+          uiType: nodeSchema.uiType,
+        },
+      };
+
+      addNodes(newNode);
+      setNodeId((prevId) => prevId + 1);
+      clearNodesStatusAndOutput();
+
+      history.push({
+        type: "ADD_NODE",
+        payload: { node: { ...newNode, ...newNode.data } },
+        undo: () => deleteElements({ nodes: [{ id: newNode.id }] }),
+        redo: () => addNodes(newNode),
+      });
+
+      return newNode;
+    },
+    [
+      availableBlocks,
+      nodeId,
+      addNodes,
+      deleteElements,
+      clearNodesStatusAndOutput,
+    ],
+  );
+
   const addNode = useCallback(
-    (blockId: string, nodeType: string, hardcodedValues: any = {}) => {
+    async (
+      blockId: string,
+      nodeType: string,
+      hardcodedValues: Record<string, any> = {},
+    ) => {
       const nodeSchema = availableBlocks.find((node) => node.id === blockId);
       if (!nodeSchema) {
         console.error(`Schema not found for block ID: ${blockId}`);
@@ -707,73 +797,42 @@ const FlowEditor: React.FC<{
       // Alternative: We could also use D3 force, Intersection for this (React flow Pro examples)
 
       const { x, y } = getViewport();
-      const viewportCoordinates =
+      const position =
         nodeDimensions && Object.keys(nodeDimensions).length > 0
-          ? // we will get all the dimension of nodes, then store
+          ? findNewlyAddedBlockCoordinates(
-            findNewlyAddedBlockCoordinates(
               nodeDimensions,
               nodeSchema.uiType == BlockUIType.NOTE ? 300 : 500,
               60,
               1.0,
             )
-          : // we will get all the dimension of nodes, then store
+          : {
-            {
               x: window.innerWidth / 2 - x,
               y: window.innerHeight / 2 - y,
             };
 
-      const newNode: CustomNode = {
+      const newNode = await createAndAddNode(
-        id: nodeId.toString(),
+        blockId,
-        type: "custom",
+        nodeType,
-        position: viewportCoordinates, // Set the position to the calculated viewport center
+        hardcodedValues,
-        data: {
+        position,
-          blockType: nodeType,
+      );
-          blockCosts: nodeSchema.costs,
+      if (!newNode) return;
-          title: `${nodeType} ${nodeId}`,
-          description: nodeSchema.description,
-          categories: nodeSchema.categories,
-          inputSchema: nodeSchema.inputSchema,
-          outputSchema: nodeSchema.outputSchema,
-          hardcodedValues: hardcodedValues,
-          connections: [],
-          isOutputOpen: false,
-          block_id: blockId,
-          isOutputStatic: nodeSchema.staticOutput,
-          uiType: nodeSchema.uiType,
-        },
-      };
-
-      addNodes(newNode);
-      setNodeId((prevId) => prevId + 1);
-      clearNodesStatusAndOutput(); // Clear status and output when a new node is added
 
       setViewport(
         {
-          // Rough estimate of the dimension of the node is: 500x400px.
+          x: -position.x * 0.8 + (window.innerWidth - 0.0) / 2,
-          // Though we skip shifting the X, considering the block menu side-bar.
+          y: -position.y * 0.8 + (window.innerHeight - 400) / 2,
-          x: -viewportCoordinates.x * 0.8 + (window.innerWidth - 0.0) / 2,
-          y: -viewportCoordinates.y * 0.8 + (window.innerHeight - 400) / 2,
           zoom: 0.8,
         },
         { duration: 500 },
       );
-
-      history.push({
-        type: "ADD_NODE",
-        payload: { node: { ...newNode, ...newNode.data } },
-        undo: () => deleteElements({ nodes: [{ id: newNode.id }] }),
-        redo: () => addNodes(newNode),
-      });
     },
     [
-      nodeId,
       getViewport,
       setViewport,
       availableBlocks,
-      addNodes,
       nodeDimensions,
-      deleteElements,
+      createAndAddNode,
-      clearNodesStatusAndOutput,
     ],
   );
 
@@ -920,7 +979,7 @@ const FlowEditor: React.FC<{
   }, []);
 
   const onDrop = useCallback(
-    (event: React.DragEvent) => {
+    async (event: React.DragEvent) => {
       event.preventDefault();
 
       const blockData = event.dataTransfer.getData("application/reactflow");
@@ -935,62 +994,17 @@ const FlowEditor: React.FC<{
           y: event.clientY,
         });
 
-        // Find the block schema
+        await createAndAddNode(
-        const nodeSchema = availableBlocks.find((node) => node.id === blockId);
+          blockId,
-        if (!nodeSchema) {
+          blockName,
-          console.error(`Schema not found for block ID: ${blockId}`);
+          hardcodedValues || {},
-          return;
-        }
-
-        // Create the new node at the drop position
-        const newNode: CustomNode = {
-          id: nodeId.toString(),
-          type: "custom",
           position,
-          data: {
+        );
-            blockType: blockName,
-            blockCosts: nodeSchema.costs || [],
-            title: `${blockName} ${nodeId}`,
-            description: nodeSchema.description,
-            categories: nodeSchema.categories,
-            inputSchema: nodeSchema.inputSchema,
-            outputSchema: nodeSchema.outputSchema,
-            hardcodedValues: hardcodedValues,
-            connections: [],
-            isOutputOpen: false,
-            block_id: blockId,
-            uiType: nodeSchema.uiType,
-          },
-        };
-
-        history.push({
-          type: "ADD_NODE",
-          payload: { node: { ...newNode, ...newNode.data } },
-          undo: () => {
-            deleteElements({ nodes: [{ id: newNode.id } as any], edges: [] });
-          },
-          redo: () => {
-            addNodes([newNode]);
-          },
-        });
-        addNodes([newNode]);
-        clearNodesStatusAndOutput();
-
-        setNodeId((prevId) => prevId + 1);
       } catch (error) {
         console.error("Failed to drop block:", error);
       }
     },
-    [
+    [screenToFlowPosition, createAndAddNode],
-      nodeId,
-      availableBlocks,
-      nodes,
-      edges,
-      addNodes,
-      screenToFlowPosition,
-      deleteElements,
-      clearNodesStatusAndOutput,
-    ],
   );
 
   const buildContextValue: BuilderContextType = useMemo(

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

@@ -4,13 +4,13 @@ import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/componen
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import type {
   CredentialsMetaInput,
-  GraphMeta,
+  Graph,
 } from "@/lib/autogpt-server-api/types";
 
 interface RunInputDialogProps {
   isOpen: boolean;
   doClose: () => void;
-  graph: GraphMeta;
+  graph: Graph;
   doRun?: (
     inputs: Record<string, any>,
     credentialsInputs: Record<string, CredentialsMetaInput>,

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

@@ -9,13 +9,13 @@ import { CustomNodeData } from "@/app/(platform)/build/components/legacy-builder
 import {
   BlockUIType,
   CredentialsMetaInput,
-  GraphMeta,
+  Graph,
 } from "@/lib/autogpt-server-api/types";
 import RunnerOutputUI, { OutputNodeInfo } from "./RunnerOutputUI";
 import { RunnerInputDialog } from "./RunnerInputUI";
 
 interface RunnerUIWrapperProps {
-  graph: GraphMeta;
+  graph: Graph;
   nodes: Node<CustomNodeData>[];
   graphExecutionError?: string | null;
   saveAndRun: (

autogpt_platform/frontend/src/app/(platform)/build/hooks/useSubAgentUpdate/helpers.ts

@@ -1,5 +1,5 @@
 import { GraphInputSchema } from "@/lib/autogpt-server-api";
-import { GraphMetaLike, IncompatibilityInfo } from "./types";
+import { GraphLike, IncompatibilityInfo } from "./types";
 
 // Helper type for schema properties - the generated types are too loose
 type SchemaProperties = Record<string, GraphInputSchema["properties"][string]>;
@@ -36,7 +36,7 @@ export function getSchemaRequired(schema: unknown): SchemaRequired {
  */
 export function createUpdatedAgentNodeInputs(
   currentInputs: Record<string, unknown>,
-  latestSubGraphVersion: GraphMetaLike,
+  latestSubGraphVersion: GraphLike,
 ): Record<string, unknown> {
   return {
     ...currentInputs,

autogpt_platform/frontend/src/app/(platform)/build/hooks/useSubAgentUpdate/types.ts

@@ -1,7 +1,11 @@
-import type { GraphMeta as LegacyGraphMeta } from "@/lib/autogpt-server-api";
+import type {
+  Graph as LegacyGraph,
+  GraphMeta as LegacyGraphMeta,
+} from "@/lib/autogpt-server-api";
+import type { GraphModel as GeneratedGraph } from "@/app/api/__generated__/models/graphModel";
 import type { GraphMeta as GeneratedGraphMeta } from "@/app/api/__generated__/models/graphMeta";
 
-export type SubAgentUpdateInfo<T extends GraphMetaLike = GraphMetaLike> = {
+export type SubAgentUpdateInfo<T extends GraphLike = GraphLike> = {
   hasUpdate: boolean;
   currentVersion: number;
   latestVersion: number;
@@ -10,7 +14,10 @@ export type SubAgentUpdateInfo<T extends GraphMetaLike = GraphMetaLike> = {
   incompatibilities: IncompatibilityInfo | null;
 };
 
-// Union type for GraphMeta that works with both legacy and new builder
+// Union type for Graph (with schemas) that works with both legacy and new builder
+export type GraphLike = LegacyGraph | GeneratedGraph;
+
+// Union type for GraphMeta (without schemas) for version detection
 export type GraphMetaLike = LegacyGraphMeta | GeneratedGraphMeta;
 
 export type IncompatibilityInfo = {

autogpt_platform/frontend/src/app/(platform)/build/hooks/useSubAgentUpdate/useSubAgentUpdate.ts

@@ -1,5 +1,11 @@
 import { useMemo } from "react";
-import { GraphInputSchema, GraphOutputSchema } from "@/lib/autogpt-server-api";
+import type {
+  GraphInputSchema,
+  GraphOutputSchema,
+} from "@/lib/autogpt-server-api";
+import type { GraphModel } from "@/app/api/__generated__/models/graphModel";
+import { useGetV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { okData } from "@/app/api/helpers";
 import { getEffectiveType } from "@/lib/utils";
 import { EdgeLike, getSchemaProperties, getSchemaRequired } from "./helpers";
 import {
@@ -11,26 +17,38 @@ import {
 /**
  * Checks if a newer version of a sub-agent is available and determines compatibility
  */
-export function useSubAgentUpdate<T extends GraphMetaLike>(
+export function useSubAgentUpdate(
   nodeID: string,
   graphID: string | undefined,
   graphVersion: number | undefined,
   currentInputSchema: GraphInputSchema | undefined,
   currentOutputSchema: GraphOutputSchema | undefined,
   connections: EdgeLike[],
-  availableGraphs: T[],
+  availableGraphs: GraphMetaLike[],
-): SubAgentUpdateInfo<T> {
+): SubAgentUpdateInfo<GraphModel> {
   // Find the latest version of the same graph
-  const latestGraph = useMemo(() => {
+  const latestGraphInfo = useMemo(() => {
     if (!graphID) return null;
     return availableGraphs.find((graph) => graph.id === graphID) || null;
   }, [graphID, availableGraphs]);
 
-  // Check if there's an update available
+  // Check if there's a newer version available
   const hasUpdate = useMemo(() => {
-    if (!latestGraph || graphVersion === undefined) return false;
+    if (!latestGraphInfo || graphVersion === undefined) return false;
-    return latestGraph.version! > graphVersion;
+    return latestGraphInfo.version! > graphVersion;
-  }, [latestGraph, graphVersion]);
+  }, [latestGraphInfo, graphVersion]);
+
+  // Fetch full graph IF an update is detected
+  const { data: latestGraph } = useGetV1GetSpecificGraph(
+    graphID ?? "",
+    { version: latestGraphInfo?.version },
+    {
+      query: {
+        enabled: hasUpdate && !!graphID && !!latestGraphInfo?.version,
+        select: okData,
+      },
+    },
+  );
 
   // Get connected input and output handles for this specific node
   const connectedHandles = useMemo(() => {
@@ -152,8 +170,8 @@ export function useSubAgentUpdate<T extends GraphMetaLike>(
   return {
     hasUpdate,
     currentVersion: graphVersion || 0,
-    latestVersion: latestGraph?.version || 0,
+    latestVersion: latestGraphInfo?.version || 0,
-    latestGraph,
+    latestGraph: latestGraph || null,
     isCompatible: compatibilityResult.isCompatible,
     incompatibilities: compatibilityResult.incompatibilities,
   };

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

@@ -18,7 +18,7 @@ interface GraphStore {
     outputSchema: Record<string, any> | null,
   ) => void;
 
-  // Available graphs; used for sub-graph updates
+  // Available graphs; used for sub-graph updated version detection
   availableSubGraphs: GraphMeta[];
   setAvailableSubGraphs: (graphs: GraphMeta[]) => void;
 

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view.tsx

@@ -10,8 +10,8 @@ import React, {
 import {
   CredentialsMetaInput,
   CredentialsType,
+  Graph,
   GraphExecutionID,
-  GraphMeta,
   LibraryAgentPreset,
   LibraryAgentPresetID,
   LibraryAgentPresetUpdatable,
@@ -69,7 +69,7 @@ export function AgentRunDraftView({
   className,
   recommendedScheduleCron,
 }: {
-  graph: GraphMeta;
+  graph: Graph;
   agentActions?: ButtonAction[];
   recommendedScheduleCron?: string | null;
   doRun?: (

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-schedule-details-view.tsx

@@ -2,8 +2,8 @@
 import React, { useCallback, useMemo } from "react";
 
 import {
+  Graph,
   GraphExecutionID,
-  GraphMeta,
   Schedule,
   ScheduleID,
 } from "@/lib/autogpt-server-api";
@@ -35,7 +35,7 @@ export function AgentScheduleDetailsView({
   onForcedRun,
   doDeleteSchedule,
 }: {
-  graph: GraphMeta;
+  graph: Graph;
   schedule: Schedule;
   agentActions: ButtonAction[];
   onForcedRun: (runID: GraphExecutionID) => void;

autogpt_platform/frontend/src/app/api/openapi.json

@@ -5629,7 +5629,9 @@
             "description": "Successful Response",
             "content": {
               "application/json": {
-                "schema": { "$ref": "#/components/schemas/GraphMeta" }
+                "schema": {
+                  "$ref": "#/components/schemas/GraphModelWithoutNodes"
+                }
               }
             }
           },
@@ -6495,18 +6497,6 @@
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Recommended Schedule Cron"
           },
-          "nodes": {
-            "items": { "$ref": "#/components/schemas/Node" },
-            "type": "array",
-            "title": "Nodes",
-            "default": []
-          },
-          "links": {
-            "items": { "$ref": "#/components/schemas/Link" },
-            "type": "array",
-            "title": "Links",
-            "default": []
-          },
           "forked_from_id": {
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Forked From Id"
@@ -6514,11 +6504,22 @@
           "forked_from_version": {
             "anyOf": [{ "type": "integer" }, { "type": "null" }],
             "title": "Forked From Version"
+          },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes"
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links"
           }
         },
         "type": "object",
         "required": ["name", "description"],
-        "title": "BaseGraph"
+        "title": "BaseGraph",
+        "description": "Graph with nodes, links, and computed I/O schema fields.\n\nUsed to represent sub-graphs within a `Graph`. Contains the full graph\nstructure including nodes and links, plus computed fields for schemas\nand trigger info. Does NOT include user_id or created_at (see GraphModel)."
       },
       "BaseGraph-Output": {
         "properties": {
@@ -6539,18 +6540,6 @@
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Recommended Schedule Cron"
           },
-          "nodes": {
-            "items": { "$ref": "#/components/schemas/Node" },
-            "type": "array",
-            "title": "Nodes",
-            "default": []
-          },
-          "links": {
-            "items": { "$ref": "#/components/schemas/Link" },
-            "type": "array",
-            "title": "Links",
-            "default": []
-          },
           "forked_from_id": {
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Forked From Id"
@@ -6559,6 +6548,16 @@
             "anyOf": [{ "type": "integer" }, { "type": "null" }],
             "title": "Forked From Version"
           },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes"
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links"
+          },
           "input_schema": {
             "additionalProperties": true,
             "type": "object",
@@ -6605,7 +6604,8 @@
           "has_sensitive_action",
           "trigger_setup_info"
         ],
-        "title": "BaseGraph"
+        "title": "BaseGraph",
+        "description": "Graph with nodes, links, and computed I/O schema fields.\n\nUsed to represent sub-graphs within a `Graph`. Contains the full graph\nstructure including nodes and links, plus computed fields for schemas\nand trigger info. Does NOT include user_id or created_at (see GraphModel)."
       },
       "BlockCategoryResponse": {
         "properties": {
@@ -7399,18 +7399,6 @@
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Recommended Schedule Cron"
           },
-          "nodes": {
-            "items": { "$ref": "#/components/schemas/Node" },
-            "type": "array",
-            "title": "Nodes",
-            "default": []
-          },
-          "links": {
-            "items": { "$ref": "#/components/schemas/Link" },
-            "type": "array",
-            "title": "Links",
-            "default": []
-          },
           "forked_from_id": {
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Forked From Id"
@@ -7419,16 +7407,26 @@
             "anyOf": [{ "type": "integer" }, { "type": "null" }],
             "title": "Forked From Version"
           },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes"
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links"
+          },
           "sub_graphs": {
             "items": { "$ref": "#/components/schemas/BaseGraph-Input" },
             "type": "array",
-            "title": "Sub Graphs",
+            "title": "Sub Graphs"
-            "default": []
           }
         },
         "type": "object",
         "required": ["name", "description"],
-        "title": "Graph"
+        "title": "Graph",
+        "description": "Creatable graph model used in API create/update endpoints."
       },
       "GraphExecution": {
         "properties": {
@@ -7778,6 +7776,52 @@
         "description": "Response schema for paginated graph executions."
       },
       "GraphMeta": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version" },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "instructions": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Instructions"
+          },
+          "recommended_schedule_cron": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Recommended Schedule Cron"
+          },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          },
+          "user_id": { "type": "string", "title": "User Id" },
+          "created_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Created At"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "version",
+          "name",
+          "description",
+          "user_id",
+          "created_at"
+        ],
+        "title": "GraphMeta",
+        "description": "Lightweight graph metadata model representing an existing graph from the database,\nfor use in listings and summaries.\n\nLacks `GraphModel`'s nodes, links, and expensive computed fields.\nUse for list endpoints where full graph data is not needed and performance matters."
+      },
+      "GraphModel": {
         "properties": {
           "id": { "type": "string", "title": "Id" },
           "version": { "type": "integer", "title": "Version", "default": 1 },
@@ -7804,13 +7848,27 @@
             "anyOf": [{ "type": "integer" }, { "type": "null" }],
             "title": "Forked From Version"
           },
+          "user_id": { "type": "string", "title": "User Id" },
+          "created_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Created At"
+          },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/NodeModel" },
+            "type": "array",
+            "title": "Nodes"
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links"
+          },
           "sub_graphs": {
             "items": { "$ref": "#/components/schemas/BaseGraph-Output" },
             "type": "array",
-            "title": "Sub Graphs",
+            "title": "Sub Graphs"
-            "default": []
           },
-          "user_id": { "type": "string", "title": "User Id" },
           "input_schema": {
             "additionalProperties": true,
             "type": "object",
@@ -7857,6 +7915,7 @@
           "name",
           "description",
           "user_id",
+          "created_at",
           "input_schema",
           "output_schema",
           "has_external_trigger",
@@ -7865,9 +7924,10 @@
           "trigger_setup_info",
           "credentials_input_schema"
         ],
-        "title": "GraphMeta"
+        "title": "GraphModel",
+        "description": "Full graph model representing an existing graph from the database.\n\nThis is the primary model for working with persisted graphs. Includes all\ngraph data (nodes, links, sub_graphs) plus user ownership and timestamps.\nProvides computed fields (input_schema, output_schema, etc.) used during\nset-up (frontend) and execution (backend).\n\nInherits from:\n- `Graph`: provides structure (nodes, links, sub_graphs) and computed schemas\n- `GraphMeta`: provides user_id, created_at for database records"
       },
-      "GraphModel": {
+      "GraphModelWithoutNodes": {
         "properties": {
           "id": { "type": "string", "title": "Id" },
           "version": { "type": "integer", "title": "Version", "default": 1 },
@@ -7886,18 +7946,6 @@
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Recommended Schedule Cron"
           },
-          "nodes": {
-            "items": { "$ref": "#/components/schemas/NodeModel" },
-            "type": "array",
-            "title": "Nodes",
-            "default": []
-          },
-          "links": {
-            "items": { "$ref": "#/components/schemas/Link" },
-            "type": "array",
-            "title": "Links",
-            "default": []
-          },
           "forked_from_id": {
             "anyOf": [{ "type": "string" }, { "type": "null" }],
             "title": "Forked From Id"
@@ -7906,12 +7954,6 @@
             "anyOf": [{ "type": "integer" }, { "type": "null" }],
             "title": "Forked From Version"
           },
-          "sub_graphs": {
-            "items": { "$ref": "#/components/schemas/BaseGraph-Output" },
-            "type": "array",
-            "title": "Sub Graphs",
-            "default": []
-          },
           "user_id": { "type": "string", "title": "User Id" },
           "created_at": {
             "type": "string",
@@ -7973,7 +8015,8 @@
           "trigger_setup_info",
           "credentials_input_schema"
         ],
-        "title": "GraphModel"
+        "title": "GraphModelWithoutNodes",
+        "description": "GraphModel variant that excludes nodes, links, and sub-graphs from serialization.\n\nUsed in contexts like the store where exposing internal graph structure\nis not desired. Inherits all computed fields from GraphModel but marks\nnodes and links as excluded from JSON output."
       },
       "GraphSettings": {
         "properties": {
@@ -8613,26 +8656,22 @@
           "input_default": {
             "additionalProperties": true,
             "type": "object",
-            "title": "Input Default",
+            "title": "Input Default"
-            "default": {}
           },
           "metadata": {
             "additionalProperties": true,
             "type": "object",
-            "title": "Metadata",
+            "title": "Metadata"
-            "default": {}
           },
           "input_links": {
             "items": { "$ref": "#/components/schemas/Link" },
             "type": "array",
-            "title": "Input Links",
+            "title": "Input Links"
-            "default": []
           },
           "output_links": {
             "items": { "$ref": "#/components/schemas/Link" },
             "type": "array",
-            "title": "Output Links",
+            "title": "Output Links"
-            "default": []
           }
         },
         "type": "object",
@@ -8712,26 +8751,22 @@
           "input_default": {
             "additionalProperties": true,
             "type": "object",
-            "title": "Input Default",
+            "title": "Input Default"
-            "default": {}
           },
           "metadata": {
             "additionalProperties": true,
             "type": "object",
-            "title": "Metadata",
+            "title": "Metadata"
-            "default": {}
           },
           "input_links": {
             "items": { "$ref": "#/components/schemas/Link" },
             "type": "array",
-            "title": "Input Links",
+            "title": "Input Links"
-            "default": []
           },
           "output_links": {
             "items": { "$ref": "#/components/schemas/Link" },
             "type": "array",
-            "title": "Output Links",
+            "title": "Output Links"
-            "default": []
           },
           "graph_id": { "type": "string", "title": "Graph Id" },
           "graph_version": { "type": "integer", "title": "Graph Version" },

autogpt_platform/frontend/src/components/contextual/Chat/components/ChatMessage/ChatMessage.tsx

@@ -102,18 +102,6 @@ export function ChatMessage({
     }
   }
 
-  function handleClarificationAnswers(answers: Record<string, string>) {
-    if (onSendMessage) {
-      const contextMessage = Object.entries(answers)
-        .map(([keyword, answer]) => `${keyword}: ${answer}`)
-        .join("\n");
-
-      onSendMessage(
-        `I have the answers to your questions:\n\n${contextMessage}\n\nPlease proceed with creating the agent.`,
-      );
-    }
-  }
-
   const handleCopy = useCallback(
     async function handleCopy() {
       if (message.type !== "message") return;
@@ -162,6 +150,22 @@ export function ChatMessage({
         .slice(index + 1)
         .some((m) => m.type === "message" && m.role === "user");
 
+    const handleClarificationAnswers = (answers: Record<string, string>) => {
+      if (onSendMessage) {
+        // Iterate over questions (preserves original order) instead of answers
+        const contextMessage = message.questions
+          .map((q) => {
+            const answer = answers[q.keyword] || "";
+            return `> ${q.question}\n\n${answer}`;
+          })
+          .join("\n\n");
+
+        onSendMessage(
+          `**Here are my answers:**\n\n${contextMessage}\n\nPlease proceed with creating the agent.`,
+        );
+      }
+    };
+
     return (
       <ClarificationQuestionsWidget
         questions={message.questions}

autogpt_platform/frontend/src/components/contextual/Chat/components/ThinkingMessage/ThinkingMessage.tsx

@@ -19,13 +19,13 @@ export function ThinkingMessage({ className }: ThinkingMessageProps) {
     if (timerRef.current === null) {
       timerRef.current = setTimeout(() => {
         setShowSlowLoader(true);
-      }, 3000);
+      }, 8000);
     }
 
     if (coffeeTimerRef.current === null) {
       coffeeTimerRef.current = setTimeout(() => {
         setShowCoffeeMessage(true);
-      }, 8000);
+      }, 10000);
     }
 
     return () => {

autogpt_platform/frontend/src/components/contextual/GoogleDrivePicker/helpers.ts

@@ -4,7 +4,9 @@ import { loadScript } from "@/services/scripts/scripts";
 export async function loadGoogleAPIPicker(): Promise<void> {
   validateWindow();
 
-  await loadScript("https://apis.google.com/js/api.js");
+  await loadScript("https://apis.google.com/js/api.js", {
+    referrerPolicy: "no-referrer-when-downgrade",
+  });
 
   const googleAPI = window.gapi;
   if (!googleAPI) {
@@ -27,7 +29,9 @@ export async function loadGoogleIdentityServices(): Promise<void> {
     throw new Error("Google Identity Services cannot load on server");
   }
 
-  await loadScript("https://accounts.google.com/gsi/client");
+  await loadScript("https://accounts.google.com/gsi/client", {
+    referrerPolicy: "no-referrer-when-downgrade",
+  });
 
   const google = window.google;
   if (!google?.accounts?.oauth2) {

autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts

@@ -362,25 +362,14 @@ export type GraphMeta = {
   user_id: UserID;
   version: number;
   is_active: boolean;
+  created_at: Date;
   name: string;
   description: string;
   instructions?: string | null;
   recommended_schedule_cron: string | null;
   forked_from_id?: GraphID | null;
   forked_from_version?: number | null;
-  input_schema: GraphInputSchema;
+};
-  output_schema: GraphOutputSchema;
-  credentials_input_schema: CredentialsInputSchema;
-} & (
-  | {
-      has_external_trigger: true;
-      trigger_setup_info: GraphTriggerInfo;
-    }
-  | {
-      has_external_trigger: false;
-      trigger_setup_info: null;
-    }
-);
 
 export type GraphID = Brand<string, "GraphID">;
 
@@ -447,11 +436,22 @@ export type GraphTriggerInfo = {
 
 /* Mirror of backend/data/graph.py:Graph */
 export type Graph = GraphMeta & {
-  created_at: Date;
   nodes: Node[];
   links: Link[];
   sub_graphs: Omit<Graph, "sub_graphs">[]; // Flattened sub-graphs
-};
+  input_schema: GraphInputSchema;
+  output_schema: GraphOutputSchema;
+  credentials_input_schema: CredentialsInputSchema;
+} & (
+    | {
+        has_external_trigger: true;
+        trigger_setup_info: GraphTriggerInfo;
+      }
+    | {
+        has_external_trigger: false;
+        trigger_setup_info: null;
+      }
+  );
 
 export type GraphUpdateable = Omit<
   Graph,