Merge branch 'dev' into refactor/remove-old-agent-library-view

## Summary
- Remove left and right borders from tables rendered in CoPilot chat
- Increase cell padding (py-3 → py-3.5) for better spacing between text
and lines
- Applies to both Streamdown (main chat) and MarkdownRenderer (tool
outputs)

Design feedback from Olivia to make tables "breathe" more.

## Test plan
- [ ] Open CoPilot chat and trigger a response containing a table
- [ ] Verify tables no longer have left/right borders
- [ ] Verify increased spacing between rows
- [ ] Check both light and dark modes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- greptile_comment -->

<h2>Greptile Overview</h2>

<details><summary><h3>Greptile Summary</h3></summary>

Improved CoPilot chat table styling by removing left and right borders
and increasing vertical padding from `py-3` to `py-3.5`. Changes apply
to both:
- Streamdown-rendered tables (via CSS selector in `globals.css`)  
- MarkdownRenderer tables (via Tailwind classes)

The changes make tables "breathe" more per design feedback from Olivia.

**Issue Found:**
- The CSS padding value in `globals.css:192` is `0.625rem` (`py-2.5`)
but should be `0.875rem` (`py-3.5`) to match the PR description and the
MarkdownRenderer implementation.
</details>


<details><summary><h3>Confidence Score: 2/5</h3></summary>

- This PR has a logical error that will cause inconsistent table styling
between Streamdown and MarkdownRenderer tables
- The implementation has an inconsistency where the CSS file uses
`py-2.5` padding while the PR description and MarkdownRenderer use
`py-3.5`. This will result in different table padding between the two
rendering systems, contradicting the goal of consistent styling
improvements.
- Pay close attention to `autogpt_platform/frontend/src/app/globals.css`
- the padding value needs to be corrected to match the intended design
</details>


<!-- greptile_other_comments_section -->

<!-- /greptile_comment -->

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

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

@@ -118,7 +118,7 @@ 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.regular_credentials_inputs
+    aggregated_fields = graph.aggregate_credentials_inputs()
 
     return {
         field_key: _serialize_missing_credential(field_key, field_info)
@@ -338,7 +338,7 @@ async def match_user_credentials_to_graph(
     missing_creds: list[str] = []
 
     # Get aggregated credentials requirements from the graph
-    aggregated_creds = graph.regular_credentials_inputs
+    aggregated_creds = graph.aggregate_credentials_inputs()
     logger.debug(
         f"Matching credentials for graph {graph.id}: {len(aggregated_creds)} required"
     )

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

@@ -1,78 +0,0 @@
-"""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

@@ -1102,7 +1102,7 @@ async def create_preset_from_graph_execution(
             raise NotFoundError(
                 f"Graph #{graph_execution.graph_id} not found or accessible"
             )
-        elif len(graph.regular_credentials_inputs) > 0:
+        elif len(graph.aggregate_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/blocks/_base.py

@@ -309,8 +309,6 @@ 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

@@ -434,7 +434,8 @@ class GraphModel(Graph, GraphMeta):
     @computed_field
     @property
     def credentials_input_schema(self) -> dict[str, Any]:
-        graph_credentials_inputs = self.regular_credentials_inputs
+        graph_credentials_inputs = self.aggregate_credentials_inputs()
+
         logger.debug(
             f"Combined credentials input fields for graph #{self.id} ({self.name}): "
             f"{graph_credentials_inputs}"
@@ -590,28 +591,6 @@ class GraphModel(Graph, GraphMeta):
             for key, (field_info, node_field_pairs) in combined.items()
         }
 
-    @property
-    def regular_credentials_inputs(
-        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
-        }
-
-    @property
-    def auto_credentials_inputs(
-        self,
-    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]], bool]]:
-        """Credentials embedded in file fields (_credentials_id), resolved at execution time."""
-        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):
         """
         Reassigns all IDs in the graph to new UUIDs.
@@ -662,16 +641,6 @@ class GraphModel(Graph, GraphMeta):
             ) 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,

autogpt_platform/backend/backend/data/graph_test.py

@@ -462,329 +462,3 @@ 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 CredentialsFieldInfo.combine() field propagation
-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
-
-
-# ============================================================================
-# Tests for _reassign_ids credential clearing (Fix 3: SECRT-1772)
-
-
-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

@@ -574,8 +574,6 @@ 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(
@@ -656,9 +654,6 @@ 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,
@@ -667,8 +662,6 @@ 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,
             )
@@ -694,8 +687,6 @@ 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

@@ -168,81 +168,6 @@ 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,
@@ -345,14 +270,41 @@ async def execute_node(
         extra_exec_kwargs[field_name] = credentials
 
     # Handle auto-generated credentials (e.g., from GoogleDriveFileInput)
-    auto_extra_kwargs, auto_locks = await _acquire_auto_credentials(
-        input_model=input_model,
-        input_data=input_data,
-        creds_manager=creds_manager,
-        user_id=user_id,
-    )
-    extra_exec_kwargs.update(auto_extra_kwargs)
-    creds_locks.extend(auto_locks)
+    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
+                        )
+                        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

@@ -1,320 +0,0 @@
-"""
-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

@@ -254,8 +254,7 @@ async def _validate_node_input_credentials(
 
         # Find any fields of type CredentialsMetaInput
         credentials_fields = block.input_schema.get_credentials_fields()
-        auto_credentials_fields = block.input_schema.get_auto_credentials_fields()
-        if not credentials_fields and not auto_credentials_fields:
+        if not credentials_fields:
             continue
 
         # Track if any credential field is missing for this node
@@ -335,47 +334,6 @@ 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 (
@@ -407,9 +365,8 @@ def make_node_credentials_input_map(
     """
     result: dict[str, dict[str, JsonValue]] = {}
 
-    # Only map regular credentials (not auto_credentials, which are resolved
-    # at execution time from _credentials_id in file field data)
-    graph_cred_inputs = graph.regular_credentials_inputs
+    # Get aggregated credentials fields for the graph
+    graph_cred_inputs = graph.aggregate_credentials_inputs()
 
     for graph_input_name, (_, compatible_node_fields, _) in graph_cred_inputs.items():
         # Best-effort map: skip missing items

autogpt_platform/backend/backend/executor/utils_test.py

@@ -907,335 +907,3 @@ 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/frontend/instrumentation-client.ts

@@ -22,6 +22,11 @@ Sentry.init({
 
   enabled: shouldEnable,
 
+  // Suppress cross-origin stylesheet errors from Sentry Replay (rrweb)
+  // serializing DOM snapshots with cross-origin stylesheets
+  // (e.g., from browser extensions or CDN-loaded CSS)
+  ignoreErrors: [/Not allowed to access cross-origin stylesheet/],
+
   // Add optional integrations for additional features
   integrations: [
     Sentry.captureConsoleIntegration(),

autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunGraph/useRunGraph.ts

@@ -4,7 +4,7 @@ import {
 } from "@/app/api/__generated__/endpoints/graphs/graphs";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { parseAsInteger, parseAsString, useQueryStates } from "nuqs";
-import { GraphExecutionMeta } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/use-agent-runs";
+import { GraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
 import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
 import { useShallow } from "zustand/react/shallow";
 import { useEffect, useState } from "react";

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

@@ -1,6 +1,6 @@
 import { useCallback } from "react";
 
-import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view";
+import { AgentRunDraftView } from "@/app/(platform)/build/components/legacy-builder/agent-run-draft-view";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import type {
   CredentialsMetaInput,

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

@@ -18,7 +18,7 @@ import {
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { useQueryClient } from "@tanstack/react-query";
 import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
-import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
+import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
 import { humanizeCronExpression } from "@/lib/cron-expression-utils";
 import { CalendarClockIcon } from "lucide-react";
 

autogpt_platform/frontend/src/app/(platform)/build/components/legacy-builder/agent-run-draft-view.tsx

@@ -20,7 +20,7 @@ import {
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
 
 import { RunAgentInputs } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentInputs/RunAgentInputs";
-import { ScheduleTaskDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
+import { ScheduleTaskDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
 import ActionButtonGroup from "@/components/__legacy__/action-button-group";
 import type { ButtonAction } from "@/components/__legacy__/types";
 import {
@@ -53,7 +53,10 @@ import { ClockIcon, CopyIcon, InfoIcon } from "@phosphor-icons/react";
 import { CalendarClockIcon, Trash2Icon } from "lucide-react";
 
 import { analytics } from "@/services/analytics";
-import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
+import {
+  AgentStatus,
+  AgentStatusChip,
+} from "@/app/(platform)/build/components/legacy-builder/agent-status-chip";
 
 export function AgentRunDraftView({
   graph,

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/sidebar/SidebarRunsList/components/ScheduleListItem.tsx

@@ -29,6 +29,7 @@ export function ScheduleListItem({
       description={formatDistanceToNow(schedule.next_run_time, {
         addSuffix: true,
       })}
+      descriptionTitle={new Date(schedule.next_run_time).toString()}
       onClick={onClick}
       selected={selected}
       icon={

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/sidebar/SidebarRunsList/components/SidebarItemCard.tsx

@@ -7,6 +7,7 @@ import React from "react";
 interface Props {
   title: string;
   description?: string;
+  descriptionTitle?: string;
   icon?: React.ReactNode;
   selected?: boolean;
   onClick?: () => void;
@@ -16,6 +17,7 @@ interface Props {
 export function SidebarItemCard({
   title,
   description,
+  descriptionTitle,
   icon,
   selected,
   onClick,
@@ -38,7 +40,11 @@ export function SidebarItemCard({
           >
             {title}
           </Text>
-          <Text variant="body" className="leading-tight !text-zinc-500">
+          <Text
+            variant="body"
+            className="leading-tight !text-zinc-500"
+            title={descriptionTitle}
+          >
             {description}
           </Text>
         </div>

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/sidebar/SidebarRunsList/components/TaskListItem.tsx

@@ -81,6 +81,9 @@ export function TaskListItem({
           ? formatDistanceToNow(run.started_at, { addSuffix: true })
           : "—"
       }
+      descriptionTitle={
+        run.started_at ? new Date(run.started_at).toString() : undefined
+      }
       onClick={onClick}
       selected={selected}
       actions={

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

@@ -1,631 +0,0 @@
-"use client";
-import { useParams, useRouter } from "next/navigation";
-import { useQueryState } from "nuqs";
-import React, {
-  useCallback,
-  useEffect,
-  useMemo,
-  useRef,
-  useState,
-} from "react";
-
-import {
-  Graph,
-  GraphExecution,
-  GraphExecutionID,
-  GraphExecutionMeta,
-  GraphID,
-  LibraryAgent,
-  LibraryAgentID,
-  LibraryAgentPreset,
-  LibraryAgentPresetID,
-  Schedule,
-  ScheduleID,
-} from "@/lib/autogpt-server-api";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-import { exportAsJSONFile } from "@/lib/utils";
-
-import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
-import type { ButtonAction } from "@/components/__legacy__/types";
-import { Button } from "@/components/__legacy__/ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-} from "@/components/__legacy__/ui/dialog";
-import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
-import {
-  useToast,
-  useToastOnFail,
-} from "@/components/molecules/Toast/use-toast";
-import { AgentRunDetailsView } from "./components/agent-run-details-view";
-import { AgentRunDraftView } from "./components/agent-run-draft-view";
-import { CreatePresetDialog } from "./components/create-preset-dialog";
-import { useAgentRunsInfinite } from "./use-agent-runs";
-import { AgentRunsSelectorList } from "./components/agent-runs-selector-list";
-import { AgentScheduleDetailsView } from "./components/agent-schedule-details-view";
-
-export function OldAgentLibraryView() {
-  const { id: agentID }: { id: LibraryAgentID } = useParams();
-  const [executionId, setExecutionId] = useQueryState("executionId");
-  const toastOnFail = useToastOnFail();
-  const { toast } = useToast();
-  const router = useRouter();
-  const api = useBackendAPI();
-
-  // ============================ STATE =============================
-
-  const [graph, setGraph] = useState<Graph | null>(null); // Graph version corresponding to LibraryAgent
-  const [agent, setAgent] = useState<LibraryAgent | null>(null);
-  const agentRunsQuery = useAgentRunsInfinite(graph?.id); // only runs once graph.id is known
-  const agentRuns = agentRunsQuery.agentRuns;
-  const [agentPresets, setAgentPresets] = useState<LibraryAgentPreset[]>([]);
-  const [schedules, setSchedules] = useState<Schedule[]>([]);
-  const [selectedView, selectView] = useState<
-    | { type: "run"; id?: GraphExecutionID }
-    | { type: "preset"; id: LibraryAgentPresetID }
-    | { type: "schedule"; id: ScheduleID }
-  >({ type: "run" });
-  const [selectedRun, setSelectedRun] = useState<
-    GraphExecution | GraphExecutionMeta | null
-  >(null);
-  const selectedSchedule =
-    selectedView.type == "schedule"
-      ? schedules.find((s) => s.id == selectedView.id)
-      : null;
-  const [isFirstLoad, setIsFirstLoad] = useState<boolean>(true);
-  const [agentDeleteDialogOpen, setAgentDeleteDialogOpen] =
-    useState<boolean>(false);
-  const [confirmingDeleteAgentRun, setConfirmingDeleteAgentRun] =
-    useState<GraphExecutionMeta | null>(null);
-  const [confirmingDeleteAgentPreset, setConfirmingDeleteAgentPreset] =
-    useState<LibraryAgentPresetID | null>(null);
-  const [copyAgentDialogOpen, setCopyAgentDialogOpen] = useState(false);
-  const [creatingPresetFromExecutionID, setCreatingPresetFromExecutionID] =
-    useState<GraphExecutionID | null>(null);
-
-  // Set page title with agent name
-  useEffect(() => {
-    if (agent) {
-      document.title = `${agent.name} - Library - AutoGPT Platform`;
-    }
-  }, [agent]);
-
-  const openRunDraftView = useCallback(() => {
-    selectView({ type: "run" });
-  }, []);
-
-  const selectRun = useCallback((id: GraphExecutionID) => {
-    selectView({ type: "run", id });
-  }, []);
-
-  const selectPreset = useCallback((id: LibraryAgentPresetID) => {
-    selectView({ type: "preset", id });
-  }, []);
-
-  const selectSchedule = useCallback((id: ScheduleID) => {
-    selectView({ type: "schedule", id });
-  }, []);
-
-  const graphVersions = useRef<Record<number, Graph>>({});
-  const loadingGraphVersions = useRef<Record<number, Promise<Graph>>>({});
-  const getGraphVersion = useCallback(
-    async (graphID: GraphID, version: number) => {
-      if (version in graphVersions.current)
-        return graphVersions.current[version];
-      if (version in loadingGraphVersions.current)
-        return loadingGraphVersions.current[version];
-
-      const pendingGraph = api.getGraph(graphID, version).then((graph) => {
-        graphVersions.current[version] = graph;
-        return graph;
-      });
-      // Cache promise as well to avoid duplicate requests
-      loadingGraphVersions.current[version] = pendingGraph;
-      return pendingGraph;
-    },
-    [api, graphVersions, loadingGraphVersions],
-  );
-
-  const lastRefresh = useRef<number>(0);
-  const refreshPageData = useCallback(() => {
-    if (Date.now() - lastRefresh.current < 2e3) return; // 2 second debounce
-    lastRefresh.current = Date.now();
-
-    api.getLibraryAgent(agentID).then((agent) => {
-      setAgent(agent);
-
-      getGraphVersion(agent.graph_id, agent.graph_version).then(
-        (_graph) =>
-          (graph && graph.version == _graph.version) || setGraph(_graph),
-      );
-      Promise.all([
-        agentRunsQuery.refetchRuns(),
-        api.listLibraryAgentPresets({
-          graph_id: agent.graph_id,
-          page_size: 100,
-        }),
-      ]).then(([runsQueryResult, presets]) => {
-        setAgentPresets(presets.presets);
-
-        const newestAgentRunsResponse = runsQueryResult.data?.pages[0];
-        if (!newestAgentRunsResponse || newestAgentRunsResponse.status != 200)
-          return;
-        const newestAgentRuns = newestAgentRunsResponse.data.executions;
-        // Preload the corresponding graph versions for the latest 10 runs
-        new Set(
-          newestAgentRuns.slice(0, 10).map((run) => run.graph_version),
-        ).forEach((version) => getGraphVersion(agent.graph_id, version));
-      });
-    });
-  }, [api, agentID, getGraphVersion, graph]);
-
-  // On first load: select the latest run
-  useEffect(() => {
-    // Only for first load or first execution
-    if (selectedView.id || !isFirstLoad) return;
-    if (agentRuns.length == 0 && agentPresets.length == 0) return;
-
-    setIsFirstLoad(false);
-    if (agentRuns.length > 0) {
-      // select latest run
-      const latestRun = agentRuns.reduce((latest, current) => {
-        if (!latest.started_at && !current.started_at) return latest;
-        if (!latest.started_at) return current;
-        if (!current.started_at) return latest;
-        return latest.started_at > current.started_at ? latest : current;
-      }, agentRuns[0]);
-      selectRun(latestRun.id as GraphExecutionID);
-    } else {
-      // select top preset
-      const latestPreset = agentPresets.toSorted(
-        (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
-      )[0];
-      selectPreset(latestPreset.id);
-    }
-  }, [
-    isFirstLoad,
-    selectedView.id,
-    agentRuns,
-    agentPresets,
-    selectRun,
-    selectPreset,
-  ]);
-
-  useEffect(() => {
-    if (executionId) {
-      selectRun(executionId as GraphExecutionID);
-      setExecutionId(null);
-    }
-  }, [executionId, selectRun, setExecutionId]);
-
-  // Initial load
-  useEffect(() => {
-    refreshPageData();
-
-    // Show a toast when the WebSocket connection disconnects
-    let connectionToast: ReturnType<typeof toast> | null = null;
-    const cancelDisconnectHandler = api.onWebSocketDisconnect(() => {
-      connectionToast ??= toast({
-        title: "Connection to server was lost",
-        variant: "destructive",
-        description: (
-          <div className="flex items-center">
-            Trying to reconnect...
-            <LoadingSpinner className="ml-1.5 size-3.5" />
-          </div>
-        ),
-        duration: Infinity,
-        dismissable: true,
-      });
-    });
-    const cancelConnectHandler = api.onWebSocketConnect(() => {
-      if (connectionToast)
-        connectionToast.update({
-          id: connectionToast.id,
-          title: "✅ Connection re-established",
-          variant: "default",
-          description: (
-            <div className="flex items-center">
-              Refreshing data...
-              <LoadingSpinner className="ml-1.5 size-3.5" />
-            </div>
-          ),
-          duration: 2000,
-          dismissable: true,
-        });
-      connectionToast = null;
-    });
-    return () => {
-      cancelDisconnectHandler();
-      cancelConnectHandler();
-    };
-  }, []);
-
-  // Subscribe to WebSocket updates for agent runs
-  useEffect(() => {
-    if (!agent?.graph_id) return;
-
-    return api.onWebSocketConnect(() => {
-      refreshPageData(); // Sync up on (re)connect
-
-      // Subscribe to all executions for this agent
-      api.subscribeToGraphExecutions(agent.graph_id);
-    });
-  }, [api, agent?.graph_id, refreshPageData]);
-
-  // Handle execution updates
-  useEffect(() => {
-    const detachExecUpdateHandler = api.onWebSocketMessage(
-      "graph_execution_event",
-      (data) => {
-        if (data.graph_id != agent?.graph_id) return;
-
-        agentRunsQuery.upsertAgentRun(data);
-        if (data.id === selectedView.id) {
-          // Update currently viewed run
-          setSelectedRun(data);
-        }
-      },
-    );
-
-    return () => {
-      detachExecUpdateHandler();
-    };
-  }, [api, agent?.graph_id, selectedView.id]);
-
-  // Pre-load selectedRun based on selectedView
-  useEffect(() => {
-    if (selectedView.type != "run" || !selectedView.id) return;
-
-    const newSelectedRun = agentRuns.find((run) => run.id == selectedView.id);
-    if (selectedView.id !== selectedRun?.id) {
-      // Pull partial data from "cache" while waiting for the rest to load
-      setSelectedRun((newSelectedRun as GraphExecutionMeta) ?? null);
-    }
-  }, [api, selectedView, agentRuns, selectedRun?.id]);
-
-  // Load selectedRun based on selectedView; refresh on agent refresh
-  useEffect(() => {
-    if (selectedView.type != "run" || !selectedView.id || !agent) return;
-
-    api
-      .getGraphExecutionInfo(agent.graph_id, selectedView.id)
-      .then(async (run) => {
-        // Ensure corresponding graph version is available before rendering I/O
-        await getGraphVersion(run.graph_id, run.graph_version);
-        setSelectedRun(run);
-      });
-  }, [api, selectedView, agent, getGraphVersion]);
-
-  const fetchSchedules = useCallback(async () => {
-    if (!agent) return;
-
-    setSchedules(await api.listGraphExecutionSchedules(agent.graph_id));
-  }, [api, agent?.graph_id]);
-
-  useEffect(() => {
-    fetchSchedules();
-  }, [fetchSchedules]);
-
-  // =========================== ACTIONS ============================
-
-  const deleteRun = useCallback(
-    async (run: GraphExecutionMeta) => {
-      if (run.status == "RUNNING" || run.status == "QUEUED") {
-        await api.stopGraphExecution(run.graph_id, run.id);
-      }
-      await api.deleteGraphExecution(run.id);
-
-      setConfirmingDeleteAgentRun(null);
-      if (selectedView.type == "run" && selectedView.id == run.id) {
-        openRunDraftView();
-      }
-      agentRunsQuery.removeAgentRun(run.id);
-    },
-    [api, selectedView, openRunDraftView],
-  );
-
-  const deletePreset = useCallback(
-    async (presetID: LibraryAgentPresetID) => {
-      await api.deleteLibraryAgentPreset(presetID);
-
-      setConfirmingDeleteAgentPreset(null);
-      if (selectedView.type == "preset" && selectedView.id == presetID) {
-        openRunDraftView();
-      }
-      setAgentPresets((presets) => presets.filter((p) => p.id !== presetID));
-    },
-    [api, selectedView, openRunDraftView],
-  );
-
-  const deleteSchedule = useCallback(
-    async (scheduleID: ScheduleID) => {
-      const removedSchedule =
-        await api.deleteGraphExecutionSchedule(scheduleID);
-
-      setSchedules((schedules) => {
-        const newSchedules = schedules.filter(
-          (s) => s.id !== removedSchedule.id,
-        );
-        if (
-          selectedView.type == "schedule" &&
-          selectedView.id == removedSchedule.id
-        ) {
-          if (newSchedules.length > 0) {
-            // Select next schedule if available
-            selectSchedule(newSchedules[0].id);
-          } else {
-            // Reset to draft view if current schedule was deleted
-            openRunDraftView();
-          }
-        }
-        return newSchedules;
-      });
-      openRunDraftView();
-    },
-    [schedules, api],
-  );
-
-  const handleCreatePresetFromRun = useCallback(
-    async (name: string, description: string) => {
-      if (!creatingPresetFromExecutionID) return;
-
-      await api
-        .createLibraryAgentPreset({
-          name,
-          description,
-          graph_execution_id: creatingPresetFromExecutionID,
-        })
-        .then((preset) => {
-          setAgentPresets((prev) => [...prev, preset]);
-          selectPreset(preset.id);
-          setCreatingPresetFromExecutionID(null);
-        })
-        .catch(toastOnFail("create a preset"));
-    },
-    [api, creatingPresetFromExecutionID, selectPreset, toast],
-  );
-
-  const downloadGraph = useCallback(
-    async () =>
-      agent &&
-      // Export sanitized graph from backend
-      api
-        .getGraph(agent.graph_id, agent.graph_version, true)
-        .then((graph) =>
-          exportAsJSONFile(graph, `${graph.name}_v${graph.version}.json`),
-        ),
-    [api, agent],
-  );
-
-  const copyAgent = useCallback(async () => {
-    setCopyAgentDialogOpen(false);
-    api
-      .forkLibraryAgent(agentID)
-      .then((newAgent) => {
-        router.push(`/library/agents/${newAgent.id}`);
-      })
-      .catch((error) => {
-        console.error("Error copying agent:", error);
-        toast({
-          title: "Error copying agent",
-          description: `An error occurred while copying the agent: ${error.message}`,
-          variant: "destructive",
-        });
-      });
-  }, [agentID, api, router, toast]);
-
-  const agentActions: ButtonAction[] = useMemo(
-    () => [
-      {
-        label: "Customize agent",
-        href: `/build?flowID=${agent?.graph_id}&flowVersion=${agent?.graph_version}`,
-        disabled: !agent?.can_access_graph,
-      },
-      { label: "Export agent to file", callback: downloadGraph },
-      ...(!agent?.can_access_graph
-        ? [
-            {
-              label: "Edit a copy",
-              callback: () => setCopyAgentDialogOpen(true),
-            },
-          ]
-        : []),
-      {
-        label: "Delete agent",
-        callback: () => setAgentDeleteDialogOpen(true),
-      },
-    ],
-    [agent, downloadGraph],
-  );
-
-  const runGraph =
-    graphVersions.current[selectedRun?.graph_version ?? 0] ?? graph;
-
-  const onCreateSchedule = useCallback(
-    (schedule: Schedule) => {
-      setSchedules((prev) => [...prev, schedule]);
-      selectSchedule(schedule.id);
-    },
-    [selectView],
-  );
-
-  const onCreatePreset = useCallback(
-    (preset: LibraryAgentPreset) => {
-      setAgentPresets((prev) => [...prev, preset]);
-      selectPreset(preset.id);
-    },
-    [selectPreset],
-  );
-
-  const onUpdatePreset = useCallback(
-    (updated: LibraryAgentPreset) => {
-      setAgentPresets((prev) =>
-        prev.map((p) => (p.id === updated.id ? updated : p)),
-      );
-      selectPreset(updated.id);
-    },
-    [selectPreset],
-  );
-
-  if (!agent || !graph) {
-    return <LoadingBox className="h-[90vh]" />;
-  }
-
-  return (
-    <div className="container justify-stretch p-0 pt-16 lg:flex">
-      {/* Sidebar w/ list of runs */}
-      {/* TODO: render this below header in sm and md layouts */}
-      <AgentRunsSelectorList
-        className="agpt-div w-full border-b pb-2 lg:w-auto lg:border-b-0 lg:border-r lg:pb-0"
-        agent={agent}
-        agentRunsQuery={agentRunsQuery}
-        agentPresets={agentPresets}
-        schedules={schedules}
-        selectedView={selectedView}
-        onSelectRun={selectRun}
-        onSelectPreset={selectPreset}
-        onSelectSchedule={selectSchedule}
-        onSelectDraftNewRun={openRunDraftView}
-        doDeleteRun={setConfirmingDeleteAgentRun}
-        doDeletePreset={setConfirmingDeleteAgentPreset}
-        doDeleteSchedule={deleteSchedule}
-        doCreatePresetFromRun={setCreatingPresetFromExecutionID}
-      />
-
-      <div className="flex-1">
-        {/* Header */}
-        <div className="agpt-div w-full border-b">
-          <h1
-            data-testid="agent-title"
-            className="font-poppins text-3xl font-medium"
-          >
-            {
-              agent.name /* TODO: use dynamic/custom run title - https://github.com/Significant-Gravitas/AutoGPT/issues/9184 */
-            }
-          </h1>
-        </div>
-
-        {/* Run / Schedule views */}
-        {(selectedView.type == "run" && selectedView.id ? (
-          selectedRun && runGraph ? (
-            <AgentRunDetailsView
-              agent={agent}
-              graph={runGraph}
-              run={selectedRun}
-              agentActions={agentActions}
-              onRun={selectRun}
-              doDeleteRun={() => setConfirmingDeleteAgentRun(selectedRun)}
-              doCreatePresetFromRun={() =>
-                setCreatingPresetFromExecutionID(selectedRun.id)
-              }
-            />
-          ) : null
-        ) : selectedView.type == "run" ? (
-          /* Draft new runs / Create new presets */
-          <AgentRunDraftView
-            graph={graph}
-            onRun={selectRun}
-            onCreateSchedule={onCreateSchedule}
-            onCreatePreset={onCreatePreset}
-            agentActions={agentActions}
-            recommendedScheduleCron={agent?.recommended_schedule_cron || null}
-          />
-        ) : selectedView.type == "preset" ? (
-          /* Edit & update presets */
-          <AgentRunDraftView
-            graph={graph}
-            agentPreset={
-              agentPresets.find((preset) => preset.id == selectedView.id)!
-            }
-            onRun={selectRun}
-            recommendedScheduleCron={agent?.recommended_schedule_cron || null}
-            onCreateSchedule={onCreateSchedule}
-            onUpdatePreset={onUpdatePreset}
-            doDeletePreset={setConfirmingDeleteAgentPreset}
-            agentActions={agentActions}
-          />
-        ) : selectedView.type == "schedule" ? (
-          selectedSchedule &&
-          graph && (
-            <AgentScheduleDetailsView
-              graph={graph}
-              schedule={selectedSchedule}
-              // agent={agent}
-              agentActions={agentActions}
-              onForcedRun={selectRun}
-              doDeleteSchedule={deleteSchedule}
-            />
-          )
-        ) : null) || <LoadingBox className="h-[70vh]" />}
-
-        <DeleteConfirmDialog
-          entityType="agent"
-          open={agentDeleteDialogOpen}
-          onOpenChange={setAgentDeleteDialogOpen}
-          onDoDelete={() =>
-            agent &&
-            api.deleteLibraryAgent(agent.id).then(() => router.push("/library"))
-          }
-        />
-
-        <DeleteConfirmDialog
-          entityType="agent run"
-          open={!!confirmingDeleteAgentRun}
-          onOpenChange={(open) => !open && setConfirmingDeleteAgentRun(null)}
-          onDoDelete={() =>
-            confirmingDeleteAgentRun && deleteRun(confirmingDeleteAgentRun)
-          }
-        />
-        <DeleteConfirmDialog
-          entityType={agent.has_external_trigger ? "trigger" : "agent preset"}
-          open={!!confirmingDeleteAgentPreset}
-          onOpenChange={(open) => !open && setConfirmingDeleteAgentPreset(null)}
-          onDoDelete={() =>
-            confirmingDeleteAgentPreset &&
-            deletePreset(confirmingDeleteAgentPreset)
-          }
-        />
-        {/* Copy agent confirmation dialog */}
-        <Dialog
-          onOpenChange={setCopyAgentDialogOpen}
-          open={copyAgentDialogOpen}
-        >
-          <DialogContent>
-            <DialogHeader>
-              <DialogTitle>You&apos;re making an editable copy</DialogTitle>
-              <DialogDescription className="pt-2">
-                The original Marketplace agent stays the same and cannot be
-                edited. We&apos;ll save a new version of this agent to your
-                Library. From there, you can customize it however you&apos;d
-                like by clicking &quot;Customize agent&quot; — this will open
-                the builder where you can see and modify the inner workings.
-              </DialogDescription>
-            </DialogHeader>
-            <DialogFooter className="justify-end">
-              <Button
-                type="button"
-                variant="outline"
-                onClick={() => setCopyAgentDialogOpen(false)}
-              >
-                Cancel
-              </Button>
-              <Button type="button" onClick={copyAgent}>
-                Continue
-              </Button>
-            </DialogFooter>
-          </DialogContent>
-        </Dialog>
-        <CreatePresetDialog
-          open={!!creatingPresetFromExecutionID}
-          onOpenChange={() => setCreatingPresetFromExecutionID(null)}
-          onConfirm={handleCreatePresetFromRun}
-        />
-      </div>
-    </div>
-  );
-}

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

@@ -1,445 +0,0 @@
-"use client";
-import { format, formatDistanceToNow, formatDistanceStrict } from "date-fns";
-import React, { useCallback, useMemo, useEffect } from "react";
-
-import {
-  Graph,
-  GraphExecution,
-  GraphExecutionID,
-  GraphExecutionMeta,
-  LibraryAgent,
-} from "@/lib/autogpt-server-api";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-import ActionButtonGroup from "@/components/__legacy__/action-button-group";
-import type { ButtonAction } from "@/components/__legacy__/types";
-import {
-  Card,
-  CardContent,
-  CardHeader,
-  CardTitle,
-} from "@/components/__legacy__/ui/card";
-import {
-  IconRefresh,
-  IconSquare,
-  IconCircleAlert,
-} from "@/components/__legacy__/ui/icons";
-import { Input } from "@/components/__legacy__/ui/input";
-import LoadingBox from "@/components/__legacy__/ui/loading";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipProvider,
-  TooltipTrigger,
-} from "@/components/atoms/Tooltip/BaseTooltip";
-import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
-
-import { AgentRunStatus, agentRunStatusMap } from "./agent-run-status-chip";
-import useCredits from "@/hooks/useCredits";
-import { AgentRunOutputView } from "./agent-run-output-view";
-import { analytics } from "@/services/analytics";
-import { PendingReviewsList } from "@/components/organisms/PendingReviewsList/PendingReviewsList";
-import { usePendingReviewsForExecution } from "@/hooks/usePendingReviews";
-
-export function AgentRunDetailsView({
-  agent,
-  graph,
-  run,
-  agentActions,
-  onRun,
-  doDeleteRun,
-  doCreatePresetFromRun,
-}: {
-  agent: LibraryAgent;
-  graph: Graph;
-  run: GraphExecution | GraphExecutionMeta;
-  agentActions: ButtonAction[];
-  onRun: (runID: GraphExecutionID) => void;
-  doDeleteRun: () => void;
-  doCreatePresetFromRun: () => void;
-}): React.ReactNode {
-  const api = useBackendAPI();
-  const { formatCredits } = useCredits();
-
-  const runStatus: AgentRunStatus = useMemo(
-    () => agentRunStatusMap[run.status],
-    [run],
-  );
-
-  const {
-    pendingReviews,
-    isLoading: reviewsLoading,
-    refetch: refetchReviews,
-  } = usePendingReviewsForExecution(run.id);
-
-  const toastOnFail = useToastOnFail();
-
-  // Refetch pending reviews when execution status changes to REVIEW
-  useEffect(() => {
-    if (runStatus === "review" && run.id) {
-      refetchReviews();
-    }
-  }, [runStatus, run.id, refetchReviews]);
-
-  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
-    if (!run) return [];
-    return [
-      {
-        label: "Status",
-        value: runStatus.charAt(0).toUpperCase() + runStatus.slice(1),
-      },
-      {
-        label: "Started",
-        value: run.started_at
-          ? `${formatDistanceToNow(run.started_at, { addSuffix: true })}, ${format(run.started_at, "HH:mm")}`
-          : "—",
-      },
-      ...(run.stats
-        ? [
-            {
-              label: "Duration",
-              value: formatDistanceStrict(0, run.stats.duration * 1000),
-            },
-            { label: "Steps", value: run.stats.node_exec_count },
-            { label: "Cost", value: formatCredits(run.stats.cost) },
-          ]
-        : []),
-    ];
-  }, [run, runStatus, formatCredits]);
-
-  const agentRunInputs:
-    | Record<
-        string,
-        {
-          title?: string;
-          /* type: BlockIOSubType; */
-          value: string | number | undefined;
-        }
-      >
-    | undefined = useMemo(() => {
-    if (!run.inputs) return undefined;
-    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
-
-    // Add type info from agent input schema
-    return Object.fromEntries(
-      Object.entries(run.inputs).map(([k, v]) => [
-        k,
-        {
-          title: graph.input_schema.properties[k]?.title,
-          // type: graph.input_schema.properties[k].type, // TODO: implement typed graph inputs
-          value: typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
-        },
-      ]),
-    );
-  }, [graph, run]);
-
-  const runAgain = useCallback(() => {
-    if (
-      !run.inputs ||
-      !(graph.credentials_input_schema?.required ?? []).every(
-        (k) => k in (run.credential_inputs ?? {}),
-      )
-    )
-      return;
-
-    if (run.preset_id) {
-      return api
-        .executeLibraryAgentPreset(
-          run.preset_id,
-          run.inputs!,
-          run.credential_inputs!,
-        )
-        .then(({ id }) => {
-          analytics.sendDatafastEvent("run_agent", {
-            name: graph.name,
-            id: graph.id,
-          });
-          onRun(id);
-        })
-        .catch(toastOnFail("execute agent preset"));
-    }
-
-    return api
-      .executeGraph(
-        graph.id,
-        graph.version,
-        run.inputs!,
-        run.credential_inputs!,
-        "library",
-      )
-      .then(({ id }) => {
-        analytics.sendDatafastEvent("run_agent", {
-          name: graph.name,
-          id: graph.id,
-        });
-        onRun(id);
-      })
-      .catch(toastOnFail("execute agent"));
-  }, [api, graph, run, onRun, toastOnFail]);
-
-  const stopRun = useCallback(
-    () => api.stopGraphExecution(graph.id, run.id),
-    [api, graph.id, run.id],
-  );
-
-  const agentRunOutputs:
-    | Record<
-        string,
-        {
-          title?: string;
-          /* type: BlockIOSubType; */
-          values: Array<React.ReactNode>;
-        }
-      >
-    | null
-    | undefined = useMemo(() => {
-    if (!("outputs" in run)) return undefined;
-    if (!["running", "success", "failed", "stopped"].includes(runStatus))
-      return null;
-
-    // Add type info from agent input schema
-    return Object.fromEntries(
-      Object.entries(run.outputs).map(([k, vv]) => [
-        k,
-        {
-          title: graph.output_schema.properties[k].title,
-          /* type: agent.output_schema.properties[k].type */
-          values: vv.map((v) =>
-            typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
-          ),
-        },
-      ]),
-    );
-  }, [graph, run, runStatus]);
-
-  const runActions: ButtonAction[] = useMemo(
-    () => [
-      ...(["running", "queued"].includes(runStatus)
-        ? ([
-            {
-              label: (
-                <>
-                  <IconSquare className="mr-2 size-4" />
-                  Stop run
-                </>
-              ),
-              variant: "secondary",
-              callback: stopRun,
-            },
-          ] satisfies ButtonAction[])
-        : []),
-      ...(["success", "failed", "stopped"].includes(runStatus) &&
-      !graph.has_external_trigger &&
-      (graph.credentials_input_schema?.required ?? []).every(
-        (k) => k in (run.credential_inputs ?? {}),
-      )
-        ? [
-            {
-              label: (
-                <>
-                  <IconRefresh className="mr-2 size-4" />
-                  Run again
-                </>
-              ),
-              callback: runAgain,
-              dataTestId: "run-again-button",
-            },
-          ]
-        : []),
-      ...(agent.can_access_graph
-        ? [
-            {
-              label: "Open run in builder",
-              href: `/build?flowID=${run.graph_id}&flowVersion=${run.graph_version}&flowExecutionID=${run.id}`,
-            },
-          ]
-        : []),
-      { label: "Create preset from run", callback: doCreatePresetFromRun },
-      { label: "Delete run", variant: "secondary", callback: doDeleteRun },
-    ],
-    [
-      runStatus,
-      runAgain,
-      stopRun,
-      doDeleteRun,
-      doCreatePresetFromRun,
-      graph.has_external_trigger,
-      graph.credentials_input_schema?.required,
-      agent.can_access_graph,
-      run.graph_id,
-      run.graph_version,
-      run.id,
-    ],
-  );
-
-  return (
-    <div className="agpt-div flex gap-6">
-      <div className="flex flex-1 flex-col gap-4">
-        <Card className="agpt-box">
-          <CardHeader>
-            <CardTitle className="font-poppins text-lg">Info</CardTitle>
-          </CardHeader>
-
-          <CardContent>
-            <div className="flex justify-stretch gap-4">
-              {infoStats.map(({ label, value }) => (
-                <div key={label} className="flex-1">
-                  <p className="text-sm font-medium text-black">{label}</p>
-                  <p className="text-sm text-neutral-600">{value}</p>
-                </div>
-              ))}
-            </div>
-            {run.status === "FAILED" && (
-              <div className="mt-4 rounded-md border border-red-200 bg-red-50 p-3 dark:border-red-800 dark:bg-red-900/20">
-                <p className="text-sm text-red-800 dark:text-red-200">
-                  <strong>Error:</strong>{" "}
-                  {run.stats?.error ||
-                    "The execution failed due to an internal error. You can re-run the agent to retry."}
-                </p>
-              </div>
-            )}
-          </CardContent>
-        </Card>
-
-        {/* Smart Agent Execution Summary */}
-        {run.stats?.activity_status && (
-          <Card className="agpt-box">
-            <CardHeader>
-              <CardTitle className="flex items-center gap-2 font-poppins text-lg">
-                Task Summary
-                <TooltipProvider>
-                  <Tooltip>
-                    <TooltipTrigger asChild>
-                      <IconCircleAlert className="size-4 cursor-help text-neutral-500 hover:text-neutral-700" />
-                    </TooltipTrigger>
-                    <TooltipContent>
-                      <p className="max-w-xs">
-                        This AI-generated summary describes how the agent
-                        handled your task. It’s an experimental feature and may
-                        occasionally be inaccurate.
-                      </p>
-                    </TooltipContent>
-                  </Tooltip>
-                </TooltipProvider>
-              </CardTitle>
-            </CardHeader>
-            <CardContent className="space-y-4">
-              <p className="text-sm leading-relaxed text-neutral-700">
-                {run.stats.activity_status}
-              </p>
-
-              {/* Correctness Score */}
-              {typeof run.stats.correctness_score === "number" && (
-                <div className="flex items-center gap-3 rounded-lg bg-neutral-50 p-3">
-                  <div className="flex items-center gap-2">
-                    <span className="text-sm font-medium text-neutral-600">
-                      Success Estimate:
-                    </span>
-                    <div className="flex items-center gap-2">
-                      <div className="relative h-2 w-16 overflow-hidden rounded-full bg-neutral-200">
-                        <div
-                          className={`h-full transition-all ${
-                            run.stats.correctness_score >= 0.8
-                              ? "bg-green-500"
-                              : run.stats.correctness_score >= 0.6
-                                ? "bg-yellow-500"
-                                : run.stats.correctness_score >= 0.4
-                                  ? "bg-orange-500"
-                                  : "bg-red-500"
-                          }`}
-                          style={{
-                            width: `${Math.round(run.stats.correctness_score * 100)}%`,
-                          }}
-                        />
-                      </div>
-                      <span className="text-sm font-medium">
-                        {Math.round(run.stats.correctness_score * 100)}%
-                      </span>
-                    </div>
-                  </div>
-                  <TooltipProvider>
-                    <Tooltip>
-                      <TooltipTrigger asChild>
-                        <IconCircleAlert className="size-4 cursor-help text-neutral-400 hover:text-neutral-600" />
-                      </TooltipTrigger>
-                      <TooltipContent>
-                        <p className="max-w-xs">
-                          AI-generated estimate of how well this execution
-                          achieved its intended purpose. This score indicates
-                          {run.stats.correctness_score >= 0.8
-                            ? " the agent was highly successful."
-                            : run.stats.correctness_score >= 0.6
-                              ? " the agent was mostly successful with minor issues."
-                              : run.stats.correctness_score >= 0.4
-                                ? " the agent was partially successful with some gaps."
-                                : " the agent had limited success with significant issues."}
-                        </p>
-                      </TooltipContent>
-                    </Tooltip>
-                  </TooltipProvider>
-                </div>
-              )}
-            </CardContent>
-          </Card>
-        )}
-
-        {agentRunOutputs !== null && (
-          <AgentRunOutputView agentRunOutputs={agentRunOutputs} />
-        )}
-
-        {/* Pending Reviews Section */}
-        {runStatus === "review" && (
-          <Card className="agpt-box">
-            <CardHeader>
-              <CardTitle className="font-poppins text-lg">
-                Pending Reviews ({pendingReviews.length})
-              </CardTitle>
-            </CardHeader>
-            <CardContent>
-              {reviewsLoading ? (
-                <LoadingBox spinnerSize={12} className="h-24" />
-              ) : pendingReviews.length > 0 ? (
-                <PendingReviewsList
-                  reviews={pendingReviews}
-                  onReviewComplete={refetchReviews}
-                  emptyMessage="No pending reviews for this execution"
-                />
-              ) : (
-                <div className="py-4 text-neutral-600">
-                  No pending reviews for this execution
-                </div>
-              )}
-            </CardContent>
-          </Card>
-        )}
-
-        <Card className="agpt-box">
-          <CardHeader>
-            <CardTitle className="font-poppins text-lg">Input</CardTitle>
-          </CardHeader>
-          <CardContent className="flex flex-col gap-4">
-            {agentRunInputs !== undefined ? (
-              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
-                <div key={key} className="flex flex-col gap-1.5">
-                  <label className="text-sm font-medium">{title || key}</label>
-                  <Input value={value} className="rounded-full" disabled />
-                </div>
-              ))
-            ) : (
-              <LoadingBox spinnerSize={12} className="h-24" />
-            )}
-          </CardContent>
-        </Card>
-      </div>
-
-      {/* Run / Agent Actions */}
-      <aside className="w-48 xl:w-56">
-        <div className="flex flex-col gap-8">
-          <ActionButtonGroup title="Run actions" actions={runActions} />
-
-          <ActionButtonGroup title="Agent actions" actions={agentActions} />
-        </div>
-      </aside>
-    </div>
-  );
-}

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

@@ -1,178 +0,0 @@
-"use client";
-
-import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
-import React, { useMemo } from "react";
-
-import {
-  Card,
-  CardContent,
-  CardHeader,
-  CardTitle,
-} from "@/components/__legacy__/ui/card";
-
-import LoadingBox from "@/components/__legacy__/ui/loading";
-import type { OutputMetadata } from "../../../../../../../../components/contextual/OutputRenderers";
-import {
-  globalRegistry,
-  OutputActions,
-  OutputItem,
-} from "../../../../../../../../components/contextual/OutputRenderers";
-
-export function AgentRunOutputView({
-  agentRunOutputs,
-}: {
-  agentRunOutputs:
-    | Record<
-        string,
-        {
-          title?: string;
-          /* type: BlockIOSubType; */
-          values: Array<React.ReactNode>;
-        }
-      >
-    | undefined;
-}) {
-  const enableEnhancedOutputHandling = useGetFlag(
-    Flag.ENABLE_ENHANCED_OUTPUT_HANDLING,
-  );
-
-  // Prepare items for the renderer system
-  const outputItems = useMemo(() => {
-    if (!agentRunOutputs) return [];
-
-    const items: Array<{
-      key: string;
-      label: string;
-      value: unknown;
-      metadata?: OutputMetadata;
-      renderer: any;
-    }> = [];
-
-    Object.entries(agentRunOutputs).forEach(([key, { title, values }]) => {
-      values.forEach((value, index) => {
-        // Enhanced metadata extraction
-        const metadata: OutputMetadata = {};
-
-        // Type guard to safely access properties
-        if (
-          typeof value === "object" &&
-          value !== null &&
-          !React.isValidElement(value)
-        ) {
-          const objValue = value as any;
-          if (objValue.type) metadata.type = objValue.type;
-          if (objValue.mimeType) metadata.mimeType = objValue.mimeType;
-          if (objValue.filename) metadata.filename = objValue.filename;
-        }
-
-        const renderer = globalRegistry.getRenderer(value, metadata);
-        if (renderer) {
-          items.push({
-            key: `${key}-${index}`,
-            label: index === 0 ? title || key : "",
-            value,
-            metadata,
-            renderer,
-          });
-        } else {
-          const textRenderer = globalRegistry
-            .getAllRenderers()
-            .find((r) => r.name === "TextRenderer");
-          if (textRenderer) {
-            items.push({
-              key: `${key}-${index}`,
-              label: index === 0 ? title || key : "",
-              value: JSON.stringify(value, null, 2),
-              metadata,
-              renderer: textRenderer,
-            });
-          }
-        }
-      });
-    });
-
-    return items;
-  }, [agentRunOutputs]);
-
-  return (
-    <>
-      {enableEnhancedOutputHandling ? (
-        <Card className="agpt-box" style={{ maxWidth: "950px" }}>
-          <CardHeader>
-            <div className="flex items-center justify-between">
-              <CardTitle className="font-poppins text-lg">Output</CardTitle>
-              {outputItems.length > 0 && (
-                <OutputActions
-                  items={outputItems.map((item) => ({
-                    value: item.value,
-                    metadata: item.metadata,
-                    renderer: item.renderer,
-                  }))}
-                />
-              )}
-            </div>
-          </CardHeader>
-
-          <CardContent
-            className="flex flex-col gap-4"
-            style={{ maxWidth: "660px" }}
-          >
-            {agentRunOutputs !== undefined ? (
-              outputItems.length > 0 ? (
-                outputItems.map((item) => (
-                  <OutputItem
-                    key={item.key}
-                    value={item.value}
-                    metadata={item.metadata}
-                    renderer={item.renderer}
-                    label={item.label}
-                  />
-                ))
-              ) : (
-                <p className="text-sm text-muted-foreground">
-                  No outputs to display
-                </p>
-              )
-            ) : (
-              <LoadingBox spinnerSize={12} className="h-24" />
-            )}
-          </CardContent>
-        </Card>
-      ) : (
-        <Card className="agpt-box" style={{ maxWidth: "950px" }}>
-          <CardHeader>
-            <CardTitle className="font-poppins text-lg">Output</CardTitle>
-          </CardHeader>
-
-          <CardContent
-            className="flex flex-col gap-4"
-            style={{ maxWidth: "660px" }}
-          >
-            {agentRunOutputs !== undefined ? (
-              Object.entries(agentRunOutputs).map(
-                ([key, { title, values }]) => (
-                  <div key={key} className="flex flex-col gap-1.5">
-                    <label className="text-sm font-medium">
-                      {title || key}
-                    </label>
-                    {values.map((value, i) => (
-                      <p
-                        className="resize-none overflow-x-auto whitespace-pre-wrap break-words border-none text-sm text-neutral-700 disabled:cursor-not-allowed"
-                        key={i}
-                      >
-                        {value}
-                      </p>
-                    ))}
-                    {/* TODO: pretty type-dependent rendering */}
-                  </div>
-                ),
-              )
-            ) : (
-              <LoadingBox spinnerSize={12} className="h-24" />
-            )}
-          </CardContent>
-        </Card>
-      )}
-    </>
-  );
-}

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

@@ -1,68 +0,0 @@
-import React from "react";
-
-import { Badge } from "@/components/__legacy__/ui/badge";
-
-import { GraphExecutionMeta } from "@/lib/autogpt-server-api/types";
-
-export type AgentRunStatus =
-  | "success"
-  | "failed"
-  | "queued"
-  | "running"
-  | "stopped"
-  | "scheduled"
-  | "draft"
-  | "review";
-
-export const agentRunStatusMap: Record<
-  GraphExecutionMeta["status"],
-  AgentRunStatus
-> = {
-  INCOMPLETE: "draft",
-  COMPLETED: "success",
-  FAILED: "failed",
-  QUEUED: "queued",
-  RUNNING: "running",
-  TERMINATED: "stopped",
-  REVIEW: "review",
-};
-
-const statusData: Record<
-  AgentRunStatus,
-  { label: string; variant: keyof typeof statusStyles }
-> = {
-  success: { label: "Success", variant: "success" },
-  running: { label: "Running", variant: "info" },
-  failed: { label: "Failed", variant: "destructive" },
-  queued: { label: "Queued", variant: "warning" },
-  draft: { label: "Draft", variant: "secondary" },
-  stopped: { label: "Stopped", variant: "secondary" },
-  scheduled: { label: "Scheduled", variant: "secondary" },
-  review: { label: "In Review", variant: "warning" },
-};
-
-const statusStyles = {
-  success:
-    "bg-green-100 text-green-800 hover:bg-green-100 hover:text-green-800",
-  destructive: "bg-red-100 text-red-800 hover:bg-red-100 hover:text-red-800",
-  warning:
-    "bg-yellow-100 text-yellow-800 hover:bg-yellow-100 hover:text-yellow-800",
-  info: "bg-blue-100 text-blue-800 hover:bg-blue-100 hover:text-blue-800",
-  secondary:
-    "bg-slate-100 text-slate-800 hover:bg-slate-100 hover:text-slate-800",
-};
-
-export function AgentRunStatusChip({
-  status,
-}: {
-  status: AgentRunStatus;
-}): React.ReactElement {
-  return (
-    <Badge
-      variant="secondary"
-      className={`text-xs font-medium ${statusStyles[statusData[status]?.variant]} rounded-[45px] px-[9px] py-[3px]`}
-    >
-      {statusData[status]?.label}
-    </Badge>
-  );
-}

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

@@ -1,130 +0,0 @@
-import React from "react";
-import { formatDistanceToNow, isPast } from "date-fns";
-
-import { cn } from "@/lib/utils";
-
-import { Link2Icon, Link2OffIcon, MoreVertical } from "lucide-react";
-import { Card, CardContent } from "@/components/__legacy__/ui/card";
-import { Button } from "@/components/__legacy__/ui/button";
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuTrigger,
-} from "@/components/__legacy__/ui/dropdown-menu";
-
-import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
-import { AgentRunStatus, AgentRunStatusChip } from "./agent-run-status-chip";
-import { PushPinSimpleIcon } from "@phosphor-icons/react";
-
-export type AgentRunSummaryProps = (
-  | {
-      type: "run";
-      status: AgentRunStatus;
-    }
-  | {
-      type: "preset";
-      status?: undefined;
-    }
-  | {
-      type: "preset.triggered";
-      status: AgentStatus;
-    }
-  | {
-      type: "schedule";
-      status: "scheduled";
-    }
-) & {
-  title: string;
-  timestamp?: number | Date;
-  selected?: boolean;
-  onClick?: () => void;
-  // onRename: () => void;
-  onDelete: () => void;
-  onPinAsPreset?: () => void;
-  className?: string;
-};
-
-export function AgentRunSummaryCard({
-  type,
-  status,
-  title,
-  timestamp,
-  selected = false,
-  onClick,
-  // onRename,
-  onDelete,
-  onPinAsPreset,
-  className,
-}: AgentRunSummaryProps): React.ReactElement {
-  return (
-    <Card
-      className={cn(
-        "agpt-rounded-card cursor-pointer border-zinc-300",
-        selected ? "agpt-card-selected" : "",
-        className,
-      )}
-      onClick={onClick}
-    >
-      <CardContent className="relative p-2.5 lg:p-4">
-        {(type == "run" || type == "schedule") && (
-          <AgentRunStatusChip status={status} />
-        )}
-        {type == "preset" && (
-          <div className="flex items-center text-sm font-medium text-neutral-700">
-            <PushPinSimpleIcon className="mr-1 size-4 text-foreground" /> Preset
-          </div>
-        )}
-        {type == "preset.triggered" && (
-          <div className="flex items-center justify-between">
-            <AgentStatusChip status={status} />
-
-            <div className="flex items-center text-sm font-medium text-neutral-700">
-              {status == "inactive" ? (
-                <Link2OffIcon className="mr-1 size-4 text-foreground" />
-              ) : (
-                <Link2Icon className="mr-1 size-4 text-foreground" />
-              )}{" "}
-              Trigger
-            </div>
-          </div>
-        )}
-
-        <div className="mt-5 flex items-center justify-between">
-          <h3 className="truncate pr-2 text-base font-medium text-neutral-900">
-            {title}
-          </h3>
-
-          <DropdownMenu>
-            <DropdownMenuTrigger asChild>
-              <Button variant="ghost" className="h-5 w-5 p-0">
-                <MoreVertical className="h-5 w-5" />
-              </Button>
-            </DropdownMenuTrigger>
-            <DropdownMenuContent>
-              {onPinAsPreset && (
-                <DropdownMenuItem onClick={onPinAsPreset}>
-                  Pin as a preset
-                </DropdownMenuItem>
-              )}
-
-              {/* <DropdownMenuItem onClick={onRename}>Rename</DropdownMenuItem> */}
-
-              <DropdownMenuItem onClick={onDelete}>Delete</DropdownMenuItem>
-            </DropdownMenuContent>
-          </DropdownMenu>
-        </div>
-
-        {timestamp && (
-          <p
-            className="mt-1 text-sm font-normal text-neutral-500"
-            title={new Date(timestamp).toString()}
-          >
-            {isPast(timestamp) ? "Ran" : "Runs in"}{" "}
-            {formatDistanceToNow(timestamp, { addSuffix: true })}
-          </p>
-        )}
-      </CardContent>
-    </Card>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-runs-selector-list.tsx

@@ -1,237 +0,0 @@
-"use client";
-import { Plus } from "lucide-react";
-import React, { useEffect, useState } from "react";
-
-import {
-  GraphExecutionID,
-  GraphExecutionMeta,
-  LibraryAgent,
-  LibraryAgentPreset,
-  LibraryAgentPresetID,
-  Schedule,
-  ScheduleID,
-} from "@/lib/autogpt-server-api";
-import { cn } from "@/lib/utils";
-
-import { Badge } from "@/components/__legacy__/ui/badge";
-import { Button } from "@/components/atoms/Button/Button";
-import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
-import { Separator } from "@/components/__legacy__/ui/separator";
-import { ScrollArea } from "@/components/__legacy__/ui/scroll-area";
-import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
-import { AgentRunsQuery } from "../use-agent-runs";
-import { agentRunStatusMap } from "./agent-run-status-chip";
-import { AgentRunSummaryCard } from "./agent-run-summary-card";
-
-interface AgentRunsSelectorListProps {
-  agent: LibraryAgent;
-  agentRunsQuery: AgentRunsQuery;
-  agentPresets: LibraryAgentPreset[];
-  schedules: Schedule[];
-  selectedView: { type: "run" | "preset" | "schedule"; id?: string };
-  allowDraftNewRun?: boolean;
-  onSelectRun: (id: GraphExecutionID) => void;
-  onSelectPreset: (preset: LibraryAgentPresetID) => void;
-  onSelectSchedule: (id: ScheduleID) => void;
-  onSelectDraftNewRun: () => void;
-  doDeleteRun: (id: GraphExecutionMeta) => void;
-  doDeletePreset: (id: LibraryAgentPresetID) => void;
-  doDeleteSchedule: (id: ScheduleID) => void;
-  doCreatePresetFromRun?: (id: GraphExecutionID) => void;
-  className?: string;
-}
-
-export function AgentRunsSelectorList({
-  agent,
-  agentRunsQuery: {
-    agentRuns,
-    agentRunCount,
-    agentRunsLoading,
-    hasMoreRuns,
-    fetchMoreRuns,
-    isFetchingMoreRuns,
-  },
-  agentPresets,
-  schedules,
-  selectedView,
-  allowDraftNewRun = true,
-  onSelectRun,
-  onSelectPreset,
-  onSelectSchedule,
-  onSelectDraftNewRun,
-  doDeleteRun,
-  doDeletePreset,
-  doDeleteSchedule,
-  doCreatePresetFromRun,
-  className,
-}: AgentRunsSelectorListProps): React.ReactElement {
-  const [activeListTab, setActiveListTab] = useState<"runs" | "scheduled">(
-    "runs",
-  );
-
-  useEffect(() => {
-    if (selectedView.type === "schedule") {
-      setActiveListTab("scheduled");
-    } else {
-      setActiveListTab("runs");
-    }
-  }, [selectedView]);
-
-  const listItemClasses = "h-28 w-72 lg:w-full lg:h-32";
-
-  return (
-    <aside className={cn("flex flex-col gap-4", className)}>
-      {allowDraftNewRun ? (
-        <Button
-          className={"mb-4 hidden lg:flex"}
-          onClick={onSelectDraftNewRun}
-          leftIcon={<Plus className="h-6 w-6" />}
-        >
-          New {agent.has_external_trigger ? "trigger" : "run"}
-        </Button>
-      ) : null}
-
-      <div className="flex gap-2">
-        <Badge
-          variant={activeListTab === "runs" ? "secondary" : "outline"}
-          className="cursor-pointer gap-2 rounded-full text-base"
-          onClick={() => setActiveListTab("runs")}
-        >
-          <span>Runs</span>
-          <span className="text-neutral-600">
-            {agentRunCount ?? <LoadingSpinner className="size-4" />}
-          </span>
-        </Badge>
-
-        <Badge
-          variant={activeListTab === "scheduled" ? "secondary" : "outline"}
-          className="cursor-pointer gap-2 rounded-full text-base"
-          onClick={() => setActiveListTab("scheduled")}
-        >
-          <span>Scheduled</span>
-          <span className="text-neutral-600">{schedules.length}</span>
-        </Badge>
-      </div>
-
-      {/* Runs / Schedules list */}
-      {agentRunsLoading && activeListTab === "runs" ? (
-        <LoadingBox className="h-28 w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80" />
-      ) : (
-        <ScrollArea
-          className="w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80"
-          orientation={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
-        >
-          <InfiniteScroll
-            direction={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
-            hasNextPage={hasMoreRuns}
-            fetchNextPage={fetchMoreRuns}
-            isFetchingNextPage={isFetchingMoreRuns}
-          >
-            <div className="flex items-center gap-2 lg:flex-col">
-              {/* New Run button - only in small layouts */}
-              {allowDraftNewRun && (
-                <Button
-                  size="large"
-                  className={
-                    "flex h-12 w-40 items-center gap-2 py-6 lg:hidden " +
-                    (selectedView.type == "run" && !selectedView.id
-                      ? "agpt-card-selected text-accent"
-                      : "")
-                  }
-                  onClick={onSelectDraftNewRun}
-                  leftIcon={<Plus className="h-6 w-6" />}
-                >
-                  New {agent.has_external_trigger ? "trigger" : "run"}
-                </Button>
-              )}
-
-              {activeListTab === "runs" ? (
-                <>
-                  {agentPresets
-                    .filter((preset) => preset.webhook) // Triggers
-                    .toSorted(
-                      (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
-                    )
-                    .map((preset) => (
-                      <AgentRunSummaryCard
-                        className={cn(listItemClasses, "lg:h-auto")}
-                        key={preset.id}
-                        type="preset.triggered"
-                        status={preset.is_active ? "active" : "inactive"}
-                        title={preset.name}
-                        // timestamp={preset.last_run_time} // TODO: implement this
-                        selected={selectedView.id === preset.id}
-                        onClick={() => onSelectPreset(preset.id)}
-                        onDelete={() => doDeletePreset(preset.id)}
-                      />
-                    ))}
-                  {agentPresets
-                    .filter((preset) => !preset.webhook) // Presets
-                    .toSorted(
-                      (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
-                    )
-                    .map((preset) => (
-                      <AgentRunSummaryCard
-                        className={cn(listItemClasses, "lg:h-auto")}
-                        key={preset.id}
-                        type="preset"
-                        title={preset.name}
-                        // timestamp={preset.last_run_time} // TODO: implement this
-                        selected={selectedView.id === preset.id}
-                        onClick={() => onSelectPreset(preset.id)}
-                        onDelete={() => doDeletePreset(preset.id)}
-                      />
-                    ))}
-                  {agentPresets.length > 0 && <Separator className="my-1" />}
-                  {agentRuns
-                    .toSorted((a, b) => {
-                      const aTime = a.started_at?.getTime() ?? 0;
-                      const bTime = b.started_at?.getTime() ?? 0;
-                      return bTime - aTime;
-                    })
-                    .map((run) => (
-                      <AgentRunSummaryCard
-                        className={listItemClasses}
-                        key={run.id}
-                        type="run"
-                        status={agentRunStatusMap[run.status]}
-                        title={
-                          (run.preset_id
-                            ? agentPresets.find((p) => p.id == run.preset_id)
-                                ?.name
-                            : null) ?? agent.name
-                        }
-                        timestamp={run.started_at ?? undefined}
-                        selected={selectedView.id === run.id}
-                        onClick={() => onSelectRun(run.id)}
-                        onDelete={() => doDeleteRun(run as GraphExecutionMeta)}
-                        onPinAsPreset={
-                          doCreatePresetFromRun
-                            ? () => doCreatePresetFromRun(run.id)
-                            : undefined
-                        }
-                      />
-                    ))}
-                </>
-              ) : (
-                schedules.map((schedule) => (
-                  <AgentRunSummaryCard
-                    className={listItemClasses}
-                    key={schedule.id}
-                    type="schedule"
-                    status="scheduled" // TODO: implement active/inactive status for schedules
-                    title={schedule.name}
-                    timestamp={schedule.next_run_time}
-                    selected={selectedView.id === schedule.id}
-                    onClick={() => onSelectSchedule(schedule.id)}
-                    onDelete={() => doDeleteSchedule(schedule.id)}
-                  />
-                ))
-              )}
-            </div>
-          </InfiniteScroll>
-        </ScrollArea>
-      )}
-    </aside>
-  );
-}

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

@@ -1,180 +0,0 @@
-"use client";
-import React, { useCallback, useMemo } from "react";
-
-import {
-  Graph,
-  GraphExecutionID,
-  Schedule,
-  ScheduleID,
-} from "@/lib/autogpt-server-api";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-import ActionButtonGroup from "@/components/__legacy__/action-button-group";
-import type { ButtonAction } from "@/components/__legacy__/types";
-import {
-  Card,
-  CardContent,
-  CardHeader,
-  CardTitle,
-} from "@/components/__legacy__/ui/card";
-import { IconCross } from "@/components/__legacy__/ui/icons";
-import { Input } from "@/components/__legacy__/ui/input";
-import LoadingBox from "@/components/__legacy__/ui/loading";
-import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
-import { humanizeCronExpression } from "@/lib/cron-expression-utils";
-import { formatScheduleTime } from "@/lib/timezone-utils";
-import { useUserTimezone } from "@/lib/hooks/useUserTimezone";
-import { PlayIcon } from "lucide-react";
-
-import { AgentRunStatus } from "./agent-run-status-chip";
-
-export function AgentScheduleDetailsView({
-  graph,
-  schedule,
-  agentActions,
-  onForcedRun,
-  doDeleteSchedule,
-}: {
-  graph: Graph;
-  schedule: Schedule;
-  agentActions: ButtonAction[];
-  onForcedRun: (runID: GraphExecutionID) => void;
-  doDeleteSchedule: (scheduleID: ScheduleID) => void;
-}): React.ReactNode {
-  const api = useBackendAPI();
-
-  const selectedRunStatus: AgentRunStatus = "scheduled";
-
-  const toastOnFail = useToastOnFail();
-
-  // Get user's timezone for displaying schedule times
-  const userTimezone = useUserTimezone();
-
-  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
-    return [
-      {
-        label: "Status",
-        value:
-          selectedRunStatus.charAt(0).toUpperCase() +
-          selectedRunStatus.slice(1),
-      },
-      {
-        label: "Schedule",
-        value: humanizeCronExpression(schedule.cron),
-      },
-      {
-        label: "Next run",
-        value: formatScheduleTime(schedule.next_run_time, userTimezone),
-      },
-    ];
-  }, [schedule, selectedRunStatus, userTimezone]);
-
-  const agentRunInputs: Record<
-    string,
-    { title?: string; /* type: BlockIOSubType; */ value: any }
-  > = useMemo(() => {
-    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
-
-    // Add type info from agent input schema
-    return Object.fromEntries(
-      Object.entries(schedule.input_data).map(([k, v]) => [
-        k,
-        {
-          title: graph.input_schema.properties[k].title,
-          /* TODO: type: agent.input_schema.properties[k].type */
-          value: v,
-        },
-      ]),
-    );
-  }, [graph, schedule]);
-
-  const runNow = useCallback(
-    () =>
-      api
-        .executeGraph(
-          graph.id,
-          graph.version,
-          schedule.input_data,
-          schedule.input_credentials,
-          "library",
-        )
-        .then((run) => onForcedRun(run.id))
-        .catch(toastOnFail("execute agent")),
-    [api, graph, schedule, onForcedRun, toastOnFail],
-  );
-
-  const runActions: ButtonAction[] = useMemo(
-    () => [
-      {
-        label: (
-          <>
-            <PlayIcon className="mr-2 size-4" />
-            Run now
-          </>
-        ),
-        callback: runNow,
-      },
-      {
-        label: (
-          <>
-            <IconCross className="mr-2 size-4 px-0.5" />
-            Delete schedule
-          </>
-        ),
-        callback: () => doDeleteSchedule(schedule.id),
-        variant: "destructive",
-      },
-    ],
-    [runNow],
-  );
-
-  return (
-    <div className="agpt-div flex gap-6">
-      <div className="flex flex-1 flex-col gap-4">
-        <Card className="agpt-box">
-          <CardHeader>
-            <CardTitle className="font-poppins text-lg">Info</CardTitle>
-          </CardHeader>
-
-          <CardContent>
-            <div className="flex justify-stretch gap-4">
-              {infoStats.map(({ label, value }) => (
-                <div key={label} className="flex-1">
-                  <p className="text-sm font-medium text-black">{label}</p>
-                  <p className="text-sm text-neutral-600">{value}</p>
-                </div>
-              ))}
-            </div>
-          </CardContent>
-        </Card>
-
-        <Card className="agpt-box">
-          <CardHeader>
-            <CardTitle className="font-poppins text-lg">Input</CardTitle>
-          </CardHeader>
-          <CardContent className="flex flex-col gap-4">
-            {agentRunInputs !== undefined ? (
-              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
-                <div key={key} className="flex flex-col gap-1.5">
-                  <label className="text-sm font-medium">{title || key}</label>
-                  <Input value={value} className="rounded-full" disabled />
-                </div>
-              ))
-            ) : (
-              <LoadingBox spinnerSize={12} className="h-24" />
-            )}
-          </CardContent>
-        </Card>
-      </div>
-
-      {/* Run / Agent Actions */}
-      <aside className="w-48 xl:w-56">
-        <div className="flex flex-col gap-8">
-          <ActionButtonGroup title="Run actions" actions={runActions} />
-
-          <ActionButtonGroup title="Agent actions" actions={agentActions} />
-        </div>
-      </aside>
-    </div>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/create-preset-dialog.tsx

@@ -1,100 +0,0 @@
-"use client";
-
-import React, { useState } from "react";
-import { Button } from "@/components/__legacy__/ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-} from "@/components/__legacy__/ui/dialog";
-import { Input } from "@/components/__legacy__/ui/input";
-import { Textarea } from "@/components/__legacy__/ui/textarea";
-
-interface CreatePresetDialogProps {
-  open: boolean;
-  onOpenChange: (open: boolean) => void;
-  onConfirm: (name: string, description: string) => Promise<void> | void;
-}
-
-export function CreatePresetDialog({
-  open,
-  onOpenChange,
-  onConfirm,
-}: CreatePresetDialogProps) {
-  const [name, setName] = useState("");
-  const [description, setDescription] = useState("");
-
-  const handleSubmit = async () => {
-    if (name.trim()) {
-      await onConfirm(name.trim(), description.trim());
-      setName("");
-      setDescription("");
-      onOpenChange(false);
-    }
-  };
-
-  const handleCancel = () => {
-    setName("");
-    setDescription("");
-    onOpenChange(false);
-  };
-
-  const handleKeyDown = (e: React.KeyboardEvent) => {
-    if (e.key === "Enter" && (e.metaKey || e.ctrlKey)) {
-      e.preventDefault();
-      handleSubmit();
-    }
-  };
-
-  return (
-    <Dialog open={open} onOpenChange={onOpenChange}>
-      <DialogContent className="sm:max-w-[425px]">
-        <DialogHeader>
-          <DialogTitle>Create Preset</DialogTitle>
-          <DialogDescription>
-            Give your preset a name and description to help identify it later.
-          </DialogDescription>
-        </DialogHeader>
-        <div className="grid gap-4 py-4">
-          <div className="grid gap-2">
-            <label htmlFor="preset-name" className="text-sm font-medium">
-              Name *
-            </label>
-            <Input
-              id="preset-name"
-              placeholder="Enter preset name"
-              value={name}
-              onChange={(e) => setName(e.target.value)}
-              onKeyDown={handleKeyDown}
-              autoFocus
-            />
-          </div>
-          <div className="grid gap-2">
-            <label htmlFor="preset-description" className="text-sm font-medium">
-              Description
-            </label>
-            <Textarea
-              id="preset-description"
-              placeholder="Optional description"
-              value={description}
-              onChange={(e) => setDescription(e.target.value)}
-              onKeyDown={handleKeyDown}
-              rows={3}
-            />
-          </div>
-        </div>
-        <DialogFooter>
-          <Button variant="outline" onClick={handleCancel}>
-            Cancel
-          </Button>
-          <Button onClick={handleSubmit} disabled={!name.trim()}>
-            Create Preset
-          </Button>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/use-agent-runs.ts

@@ -1,210 +0,0 @@
-import {
-  GraphExecutionMeta as LegacyGraphExecutionMeta,
-  GraphID,
-  GraphExecutionID,
-} from "@/lib/autogpt-server-api";
-import { getQueryClient } from "@/lib/react-query/queryClient";
-import {
-  getPaginatedTotalCount,
-  getPaginationNextPageNumber,
-  unpaginate,
-} from "@/app/api/helpers";
-import {
-  getV1ListGraphExecutionsResponse,
-  getV1ListGraphExecutionsResponse200,
-  useGetV1ListGraphExecutionsInfinite,
-} from "@/app/api/__generated__/endpoints/graphs/graphs";
-import { GraphExecutionsPaginated } from "@/app/api/__generated__/models/graphExecutionsPaginated";
-import { GraphExecutionMeta as RawGraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
-
-export type GraphExecutionMeta = Omit<
-  RawGraphExecutionMeta,
-  "id" | "user_id" | "graph_id" | "preset_id" | "stats"
-> &
-  Pick<
-    LegacyGraphExecutionMeta,
-    "id" | "user_id" | "graph_id" | "preset_id" | "stats"
-  >;
-
-/** Hook to fetch runs for a specific graph, with support for infinite scroll.
- *
- * @param graphID - The ID of the graph to fetch agent runs for. This parameter is
- *                  optional in the sense that the hook doesn't run unless it is passed.
- *                  This way, it can be used in components where the graph ID is not
- *                  immediately available.
- */
-export const useAgentRunsInfinite = (graphID?: GraphID) => {
-  const queryClient = getQueryClient();
-  const {
-    data: queryResults,
-    refetch: refetchRuns,
-    isPending: agentRunsLoading,
-    isRefetching: agentRunsReloading,
-    hasNextPage: hasMoreRuns,
-    fetchNextPage: fetchMoreRuns,
-    isFetchingNextPage: isFetchingMoreRuns,
-    queryKey,
-  } = useGetV1ListGraphExecutionsInfinite(
-    graphID!,
-    { page: 1, page_size: 20 },
-    {
-      query: {
-        getNextPageParam: getPaginationNextPageNumber,
-
-        // Prevent query from running if graphID is not available (yet)
-        ...(!graphID
-          ? {
-              enabled: false,
-              queryFn: () =>
-                // Fake empty response if graphID is not available (yet)
-                Promise.resolve({
-                  status: 200,
-                  data: {
-                    executions: [],
-                    pagination: {
-                      current_page: 1,
-                      page_size: 20,
-                      total_items: 0,
-                      total_pages: 0,
-                    },
-                  },
-                  headers: new Headers(),
-                } satisfies getV1ListGraphExecutionsResponse),
-            }
-          : {}),
-      },
-    },
-    queryClient,
-  );
-
-  const agentRuns = queryResults ? unpaginate(queryResults, "executions") : [];
-  const agentRunCount = getPaginatedTotalCount(queryResults);
-
-  const upsertAgentRun = (newAgentRun: GraphExecutionMeta) => {
-    queryClient.setQueryData(
-      queryKey,
-      (currentQueryData: typeof queryResults) => {
-        if (!currentQueryData?.pages || agentRunCount === undefined)
-          return currentQueryData;
-
-        const exists = currentQueryData.pages.some((page) => {
-          if (page.status !== 200) return false;
-
-          const response = page.data;
-          return response.executions.some((run) => run.id === newAgentRun.id);
-        });
-        if (exists) {
-          // If the run already exists, we update it
-          return {
-            ...currentQueryData,
-            pages: currentQueryData.pages.map((page) => {
-              if (page.status !== 200) return page;
-              const response = page.data;
-              const executions = response.executions;
-
-              const index = executions.findIndex(
-                (run) => run.id === newAgentRun.id,
-              );
-              if (index === -1) return page;
-
-              const newExecutions = [...executions];
-              newExecutions[index] = newAgentRun;
-
-              return {
-                ...page,
-                data: {
-                  ...response,
-                  executions: newExecutions,
-                },
-              } satisfies getV1ListGraphExecutionsResponse;
-            }),
-          };
-        }
-
-        // If the run does not exist, we add it to the first page
-        const page = currentQueryData
-          .pages[0] as getV1ListGraphExecutionsResponse200 & {
-          headers: Headers;
-        };
-        const updatedExecutions = [newAgentRun, ...page.data.executions];
-        const updatedPage = {
-          ...page,
-          data: {
-            ...page.data,
-            executions: updatedExecutions,
-          },
-        } satisfies getV1ListGraphExecutionsResponse;
-        const updatedPages = [updatedPage, ...currentQueryData.pages.slice(1)];
-        return {
-          ...currentQueryData,
-          pages: updatedPages.map(
-            // Increment the total runs count in the pagination info of all pages
-            (page) =>
-              page.status === 200
-                ? {
-                    ...page,
-                    data: {
-                      ...page.data,
-                      pagination: {
-                        ...page.data.pagination,
-                        total_items: agentRunCount + 1,
-                      },
-                    },
-                  }
-                : page,
-          ),
-        };
-      },
-    );
-  };
-
-  const removeAgentRun = (runID: GraphExecutionID) => {
-    queryClient.setQueryData(
-      [queryKey, { page: 1, page_size: 20 }],
-      (currentQueryData: typeof queryResults) => {
-        if (!currentQueryData?.pages) return currentQueryData;
-
-        let found = false;
-        return {
-          ...currentQueryData,
-          pages: currentQueryData.pages.map((page) => {
-            const response = page.data as GraphExecutionsPaginated;
-            const filteredExecutions = response.executions.filter(
-              (run) => run.id !== runID,
-            );
-            if (filteredExecutions.length < response.executions.length) {
-              found = true;
-            }
-
-            return {
-              ...page,
-              data: {
-                ...response,
-                executions: filteredExecutions,
-                pagination: {
-                  ...response.pagination,
-                  total_items:
-                    response.pagination.total_items - (found ? 1 : 0),
-                },
-              },
-            };
-          }),
-        };
-      },
-    );
-  };
-
-  return {
-    agentRuns: agentRuns as GraphExecutionMeta[],
-    refetchRuns,
-    agentRunCount,
-    agentRunsLoading: agentRunsLoading || agentRunsReloading,
-    hasMoreRuns,
-    fetchMoreRuns,
-    isFetchingMoreRuns,
-    upsertAgentRun,
-    removeAgentRun,
-  };
-};
-
-export type AgentRunsQuery = ReturnType<typeof useAgentRunsInfinite>;

autogpt_platform/frontend/src/app/(platform)/library/legacy/[id]/page.tsx

@@ -1,7 +0,0 @@
-"use client";
-
-import { OldAgentLibraryView } from "../../agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView";
-
-export default function OldAgentLibraryPage() {
-  return <OldAgentLibraryView />;
-}

autogpt_platform/frontend/src/app/globals.css

@@ -180,3 +180,14 @@ body[data-google-picker-open="true"] [data-dialog-content] {
   z-index: 1 !important;
   pointer-events: none !important;
 }
+
+/* CoPilot chat table styling — remove left/right borders, increase padding */
+[data-streamdown="table-wrapper"] table {
+  border-left: none;
+  border-right: none;
+}
+
+[data-streamdown="table-wrapper"] th,
+[data-streamdown="table-wrapper"] td {
+  padding: 0.875rem 1rem; /* py-3.5 px-4 */
+}

autogpt_platform/frontend/src/components/contextual/CronScheduler/cron-scheduler-dialog.tsx

@@ -2,7 +2,7 @@ import { useEffect, useState } from "react";
 import { Input } from "@/components/__legacy__/ui/input";
 import { Button } from "@/components/__legacy__/ui/button";
 import { useToast } from "@/components/molecules/Toast/use-toast";
-import { CronScheduler } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler";
+import { CronScheduler } from "@/components/contextual/CronScheduler/cron-scheduler";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { getTimezoneDisplayName } from "@/lib/timezone-utils";
 import { useUserTimezone } from "@/lib/hooks/useUserTimezone";

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

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

autogpt_platform/frontend/src/components/contextual/OutputRenderers/renderers/MarkdownRenderer.tsx

@@ -226,7 +226,7 @@ function renderMarkdown(
           table: ({ children, ...props }) => (
             <div className="my-4 overflow-x-auto">
               <table
-                className="min-w-full divide-y divide-gray-200 rounded-lg border border-gray-200 dark:divide-gray-700 dark:border-gray-700"
+                className="min-w-full divide-y divide-gray-200 border-y border-gray-200 dark:divide-gray-700 dark:border-gray-700"
                 {...props}
               >
                 {children}
@@ -235,7 +235,7 @@ function renderMarkdown(
           ),
           th: ({ children, ...props }) => (
             <th
-              className="bg-gray-50 px-4 py-3 text-left text-xs font-semibold uppercase tracking-wider text-gray-700 dark:bg-gray-800 dark:text-gray-300"
+              className="bg-gray-50 px-4 py-3.5 text-left text-xs font-semibold uppercase tracking-wider text-gray-700 dark:bg-gray-800 dark:text-gray-300"
               {...props}
             >
               {children}
@@ -243,7 +243,7 @@ function renderMarkdown(
           ),
           td: ({ children, ...props }) => (
             <td
-              className="border-t border-gray-200 px-4 py-3 text-sm text-gray-600 dark:border-gray-700 dark:text-gray-400"
+              className="border-t border-gray-200 px-4 py-3.5 text-sm text-gray-600 dark:border-gray-700 dark:text-gray-400"
               {...props}
             >
               {children}

autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/AgentInfoStep.tsx

@@ -1,6 +1,6 @@
 "use client";
 
-import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
+import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
 import { Form, FormField } from "@/components/__legacy__/ui/form";
 import { Button } from "@/components/atoms/Button/Button";
 import { Input } from "@/components/atoms/Input/Input";

autogpt_platform/frontend/src/services/feature-flags/use-get-flag.ts

@@ -7,7 +7,6 @@ import { useFlags } from "launchdarkly-react-client-sdk";
 export enum Flag {
   BETA_BLOCKS = "beta-blocks",
   NEW_BLOCK_MENU = "new-block-menu",
-  NEW_AGENT_RUNS = "new-agent-runs",
   GRAPH_SEARCH = "graph-search",
   ENABLE_ENHANCED_OUTPUT_HANDLING = "enable-enhanced-output-handling",
   SHARE_EXECUTION_RESULTS = "share-execution-results",
@@ -22,7 +21,6 @@ const isPwMockEnabled = process.env.NEXT_PUBLIC_PW_TEST === "true";
 const defaultFlags = {
   [Flag.BETA_BLOCKS]: [],
   [Flag.NEW_BLOCK_MENU]: false,
-  [Flag.NEW_AGENT_RUNS]: false,
   [Flag.GRAPH_SEARCH]: false,
   [Flag.ENABLE_ENHANCED_OUTPUT_HANDLING]: false,
   [Flag.SHARE_EXECUTION_RESULTS]: false,