chore(deps): bump actions/upload-artifact from 4 to 6

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 4 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/classic-autogpt-ci.yml

@@ -139,7 +139,7 @@ jobs:
 
       - name: Upload logs to artifact
         if: always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: test-logs
           path: classic/original_autogpt/logs/

.github/workflows/classic-forge-ci.yml

@@ -237,7 +237,7 @@ jobs:
 
       - name: Upload logs to artifact
         if: always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: test-logs
           path: classic/forge/logs/

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

@@ -269,7 +269,7 @@ jobs:
 
       - name: Upload Playwright report
         if: always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: playwright-report
           path: playwright-report
@@ -278,7 +278,7 @@ jobs:
 
       - name: Upload Playwright test results
         if: always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: playwright-test-results
           path: test-results

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

@@ -5,7 +5,7 @@ import re
 from datetime import datetime, timedelta, timezone
 from typing import Any
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, field_validator
 
 from backend.api.features.chat.model import ChatSession
 from backend.api.features.library import db as library_db
@@ -14,7 +14,6 @@ from backend.data import execution as execution_db
 from backend.data.execution import ExecutionStatus, GraphExecution, GraphExecutionMeta
 
 from .base import BaseTool
-from .execution_utils import TERMINAL_STATUSES, wait_for_execution
 from .models import (
     AgentOutputResponse,
     ErrorResponse,
@@ -35,7 +34,6 @@ class AgentOutputInput(BaseModel):
     store_slug: str = ""
     execution_id: str = ""
     run_time: str = "latest"
-    wait_if_running: int = Field(default=0, ge=0, le=300)
 
     @field_validator(
         "agent_name",
@@ -119,11 +117,6 @@ class AgentOutputTool(BaseTool):
         Select which run to retrieve using:
         - execution_id: Specific execution ID
         - run_time: 'latest' (default), 'yesterday', 'last week', or ISO date 'YYYY-MM-DD'
-
-        Wait for completion (optional):
-        - wait_if_running: Max seconds to wait if execution is still running (0-300).
-          If the execution is running/queued, waits up to this many seconds for it to complete.
-          Returns current status on timeout. If already finished, returns immediately.
         """
 
     @property
@@ -153,13 +146,6 @@ class AgentOutputTool(BaseTool):
                         "Time filter: 'latest', 'yesterday', 'last week', or 'YYYY-MM-DD'"
                     ),
                 },
-                "wait_if_running": {
-                    "type": "integer",
-                    "description": (
-                        "Max seconds to wait if execution is still running (0-300). "
-                        "If running, waits for completion. Returns current state on timeout."
-                    ),
-                },
             },
             "required": [],
         }
@@ -237,14 +223,10 @@ class AgentOutputTool(BaseTool):
         execution_id: str | None,
         time_start: datetime | None,
         time_end: datetime | None,
-        include_running: bool = False,
     ) -> tuple[GraphExecution | None, list[GraphExecutionMeta], str | None]:
         """
         Fetch execution(s) based on filters.
         Returns (single_execution, available_executions_meta, error_message).
-
-        Args:
-            include_running: If True, also look for running/queued executions (for waiting)
         """
         # If specific execution_id provided, fetch it directly
         if execution_id:
@@ -257,22 +239,11 @@ class AgentOutputTool(BaseTool):
                 return None, [], f"Execution '{execution_id}' not found"
             return execution, [], None
 
-        # Determine which statuses to query
-        statuses = [ExecutionStatus.COMPLETED]
-        if include_running:
-            statuses.extend(
-                [
-                    ExecutionStatus.RUNNING,
-                    ExecutionStatus.QUEUED,
-                    ExecutionStatus.INCOMPLETE,
-                ]
-            )
-
-        # Get executions with time filters
+        # Get completed executions with time filters
         executions = await execution_db.get_graph_executions(
             graph_id=graph_id,
             user_id=user_id,
-            statuses=statuses,
+            statuses=[ExecutionStatus.COMPLETED],
             created_time_gte=time_start,
             created_time_lte=time_end,
             limit=10,
@@ -339,28 +310,10 @@ class AgentOutputTool(BaseTool):
                 for e in available_executions[:5]
             ]
 
-        # Build appropriate message based on execution status
-        if execution.status == ExecutionStatus.COMPLETED:
-            message = f"Found execution outputs for agent '{agent.name}'"
-        elif execution.status == ExecutionStatus.FAILED:
-            message = f"Execution for agent '{agent.name}' failed"
-        elif execution.status == ExecutionStatus.TERMINATED:
-            message = f"Execution for agent '{agent.name}' was terminated"
-        elif execution.status in (
-            ExecutionStatus.RUNNING,
-            ExecutionStatus.QUEUED,
-            ExecutionStatus.INCOMPLETE,
-        ):
-            message = (
-                f"Execution for agent '{agent.name}' is still {execution.status.value}. "
-                "Results may be incomplete. Use wait_if_running to wait for completion."
-            )
-        else:
-            message = f"Found execution for agent '{agent.name}' (status: {execution.status.value})"
-
+        message = f"Found execution outputs for agent '{agent.name}'"
         if len(available_executions) > 1:
             message += (
-                f" Showing latest of {len(available_executions)} matching executions."
+                f". Showing latest of {len(available_executions)} matching executions."
             )
 
         return AgentOutputResponse(
@@ -475,17 +428,13 @@ class AgentOutputTool(BaseTool):
         # Parse time expression
         time_start, time_end = parse_time_expression(input_data.run_time)
 
-        # Check if we should wait for running executions
-        wait_timeout = input_data.wait_if_running
-
-        # Fetch execution(s) - include running if we're going to wait
+        # Fetch execution(s)
         execution, available_executions, exec_error = await self._get_execution(
             user_id=user_id,
             graph_id=agent.graph_id,
             execution_id=input_data.execution_id or None,
             time_start=time_start,
             time_end=time_end,
-            include_running=wait_timeout > 0,
         )
 
         if exec_error:
@@ -494,17 +443,4 @@ class AgentOutputTool(BaseTool):
                 session_id=session_id,
             )
 
-        # If we have an execution that's still running and we should wait
-        if execution and wait_timeout > 0 and execution.status not in TERMINAL_STATUSES:
-            logger.info(
-                f"Execution {execution.id} is {execution.status}, "
-                f"waiting up to {wait_timeout}s for completion"
-            )
-            execution = await wait_for_execution(
-                user_id=user_id,
-                graph_id=agent.graph_id,
-                execution_id=execution.id,
-                timeout_seconds=wait_timeout,
-            )
-
         return self._build_response(agent, execution, available_executions, session_id)

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

@@ -1,124 +0,0 @@
-"""Shared utilities for execution waiting and status handling."""
-
-import asyncio
-import logging
-from typing import Any
-
-from backend.data import execution as execution_db
-from backend.data.execution import (
-    AsyncRedisExecutionEventBus,
-    ExecutionStatus,
-    GraphExecution,
-    GraphExecutionEvent,
-)
-
-logger = logging.getLogger(__name__)
-
-# Terminal statuses that indicate execution is complete
-TERMINAL_STATUSES = frozenset(
-    {
-        ExecutionStatus.COMPLETED,
-        ExecutionStatus.FAILED,
-        ExecutionStatus.TERMINATED,
-    }
-)
-
-
-async def wait_for_execution(
-    user_id: str,
-    graph_id: str,
-    execution_id: str,
-    timeout_seconds: int,
-) -> GraphExecution | None:
-    """
-    Wait for an execution to reach a terminal status using Redis pubsub.
-
-    Uses asyncio.wait_for to ensure timeout is respected even when no events
-    are received.
-
-    Args:
-        user_id: User ID
-        graph_id: Graph ID
-        execution_id: Execution ID to wait for
-        timeout_seconds: Max seconds to wait
-
-    Returns:
-        The execution with current status, or None if not found
-    """
-    # First check current status - maybe it's already done
-    execution = await execution_db.get_graph_execution(
-        user_id=user_id,
-        execution_id=execution_id,
-        include_node_executions=False,
-    )
-    if not execution:
-        return None
-
-    # If already in terminal state, return immediately
-    if execution.status in TERMINAL_STATUSES:
-        logger.debug(
-            f"Execution {execution_id} already in terminal state: {execution.status}"
-        )
-        return execution
-
-    logger.info(
-        f"Waiting up to {timeout_seconds}s for execution {execution_id} "
-        f"(current status: {execution.status})"
-    )
-
-    # Subscribe to execution updates via Redis pubsub
-    event_bus = AsyncRedisExecutionEventBus()
-    channel_key = f"{user_id}/{graph_id}/{execution_id}"
-
-    try:
-        # Use wait_for to enforce timeout on the entire listen operation
-        result = await asyncio.wait_for(
-            _listen_for_terminal_status(event_bus, channel_key, user_id, execution_id),
-            timeout=timeout_seconds,
-        )
-        return result
-    except asyncio.TimeoutError:
-        logger.info(f"Timeout waiting for execution {execution_id}")
-    except Exception as e:
-        logger.error(f"Error waiting for execution: {e}", exc_info=True)
-
-    # Return current state on timeout/error
-    return await execution_db.get_graph_execution(
-        user_id=user_id,
-        execution_id=execution_id,
-        include_node_executions=False,
-    )
-
-
-async def _listen_for_terminal_status(
-    event_bus: AsyncRedisExecutionEventBus,
-    channel_key: str,
-    user_id: str,
-    execution_id: str,
-) -> GraphExecution | None:
-    """
-    Listen for execution events until a terminal status is reached.
-
-    This is a helper that gets wrapped in asyncio.wait_for for timeout handling.
-    """
-    async for event in event_bus.listen_events(channel_key):
-        # Only process GraphExecutionEvents (not NodeExecutionEvents)
-        if isinstance(event, GraphExecutionEvent):
-            logger.debug(f"Received execution update: {event.status}")
-            if event.status in TERMINAL_STATUSES:
-                # Fetch full execution with outputs
-                return await execution_db.get_graph_execution(
-                    user_id=user_id,
-                    execution_id=execution_id,
-                    include_node_executions=False,
-                )
-
-    # Should not reach here normally (generator should yield indefinitely)
-    return None
-
-
-def get_execution_outputs(execution: GraphExecution | None) -> dict[str, Any] | None:
-    """Extract outputs from an execution, or return None."""
-    if execution is None:
-        return None
-    return execution.outputs

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

@@ -192,7 +192,6 @@ class ExecutionStartedResponse(ToolResponseBase):
     library_agent_id: str | None = None
     library_agent_link: str | None = None
     status: str = "QUEUED"
-    outputs: dict[str, Any] | None = None  # Populated when wait_for_result is used
 
 
 # Auth/error models

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

@@ -12,7 +12,6 @@ from backend.api.features.chat.tracking import (
     track_agent_scheduled,
 )
 from backend.api.features.library import db as library_db
-from backend.data.execution import ExecutionStatus
 from backend.data.graph import GraphModel
 from backend.data.model import CredentialsMetaInput
 from backend.data.user import get_user_by_id
@@ -25,7 +24,6 @@ from backend.util.timezone_utils import (
 )
 
 from .base import BaseTool
-from .execution_utils import get_execution_outputs, wait_for_execution
 from .helpers import get_inputs_from_schema
 from .models import (
     AgentDetails,
@@ -72,7 +70,6 @@ class RunAgentInput(BaseModel):
     schedule_name: str = ""
     cron: str = ""
     timezone: str = "UTC"
-    wait_for_result: int = Field(default=0, ge=0, le=300)
 
     @field_validator(
         "username_agent_slug",
@@ -154,14 +151,6 @@ class RunAgentTool(BaseTool):
                     "type": "string",
                     "description": "IANA timezone for schedule (default: UTC)",
                 },
-                "wait_for_result": {
-                    "type": "integer",
-                    "description": (
-                        "Max seconds to wait for execution to complete (0-300). "
-                        "If >0, blocks until the execution finishes or times out. "
-                        "Returns execution outputs when complete."
-                    ),
-                },
             },
             "required": [],
         }
@@ -358,7 +347,6 @@ class RunAgentTool(BaseTool):
                     graph=graph,
                     graph_credentials=graph_credentials,
                     inputs=params.inputs,
-                    wait_for_result=params.wait_for_result,
                 )
 
         except NotFoundError as e:
@@ -442,9 +430,8 @@ class RunAgentTool(BaseTool):
         graph: GraphModel,
         graph_credentials: dict[str, CredentialsMetaInput],
         inputs: dict[str, Any],
-        wait_for_result: int = 0,
     ) -> ToolResponseBase:
-        """Execute an agent immediately, optionally waiting for completion."""
+        """Execute an agent immediately."""
         session_id = session.session_id
 
         # Check rate limits
@@ -481,60 +468,6 @@ class RunAgentTool(BaseTool):
         )
 
         library_agent_link = f"/library/agents/{library_agent.id}"
-
-        # If wait_for_result is specified, wait for execution to complete
-        if wait_for_result > 0:
-            logger.info(
-                f"Waiting up to {wait_for_result}s for execution {execution.id}"
-            )
-            result = await wait_for_execution(
-                user_id=user_id,
-                graph_id=library_agent.graph_id,
-                execution_id=execution.id,
-                timeout_seconds=wait_for_result,
-            )
-            final_status = result.status if result else ExecutionStatus.FAILED
-            outputs = get_execution_outputs(result)
-
-            # Build message based on final status
-            if final_status == ExecutionStatus.COMPLETED:
-                message = (
-                    f"Agent '{library_agent.name}' execution completed successfully. "
-                    f"{MSG_DO_NOT_RUN_AGAIN}"
-                )
-            elif final_status == ExecutionStatus.FAILED:
-                message = (
-                    f"Agent '{library_agent.name}' execution failed. "
-                    f"View details at {library_agent_link}. "
-                    f"{MSG_DO_NOT_RUN_AGAIN}"
-                )
-            elif final_status == ExecutionStatus.TERMINATED:
-                message = (
-                    f"Agent '{library_agent.name}' execution was terminated. "
-                    f"View details at {library_agent_link}. "
-                    f"{MSG_DO_NOT_RUN_AGAIN}"
-                )
-            else:
-                message = (
-                    f"Agent '{library_agent.name}' execution is still {final_status.value} "
-                    f"(timed out after {wait_for_result}s). "
-                    f"View at {library_agent_link}. "
-                    f"{MSG_DO_NOT_RUN_AGAIN}"
-                )
-
-            return ExecutionStartedResponse(
-                message=message,
-                session_id=session_id,
-                execution_id=execution.id,
-                graph_id=library_agent.graph_id,
-                graph_name=library_agent.name,
-                library_agent_id=library_agent.id,
-                library_agent_link=library_agent_link,
-                status=final_status.value,
-                outputs=outputs,
-            )
-
-        # Default: return immediately without waiting
         return ExecutionStartedResponse(
             message=(
                 f"Agent '{library_agent.name}' execution started successfully. "