refactor: address review feedback

- Use pydantic Field(ge=0, le=300) instead of custom validators
- Extract shared wait logic to execution_utils.py
- Use asyncio.wait_for for proper timeout handling
- Remove duplicated code in agent_output.py and run_agent.py

Note: Direct DB access will need adjustment for #12057 compatibility

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

@@ -41,13 +41,18 @@ jobs:
         ports:
           - 6379:6379
       rabbitmq:
-        image: rabbitmq:3.12-management
+        image: rabbitmq:4.1.4
         ports:
           - 5672:5672
-          - 15672:15672
         env:
           RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
           RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
+        options: >-
+          --health-cmd "rabbitmq-diagnostics -q ping"
+          --health-interval 30s
+          --health-timeout 10s
+          --health-retries 5
+          --health-start-period 10s
       clamav:
         image: clamav/clamav-debian:latest
         ports:

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

@@ -6,10 +6,16 @@ on:
     paths:
       - ".github/workflows/platform-frontend-ci.yml"
       - "autogpt_platform/frontend/**"
+      - "autogpt_platform/backend/Dockerfile"
+      - "autogpt_platform/docker-compose.yml"
+      - "autogpt_platform/docker-compose.platform.yml"
   pull_request:
     paths:
       - ".github/workflows/platform-frontend-ci.yml"
       - "autogpt_platform/frontend/**"
+      - "autogpt_platform/backend/Dockerfile"
+      - "autogpt_platform/docker-compose.yml"
+      - "autogpt_platform/docker-compose.platform.yml"
   merge_group:
   workflow_dispatch:
 

autogpt_platform/backend/Dockerfile

@@ -53,63 +53,6 @@ COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/parti
 COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
 RUN poetry run prisma generate && poetry run gen-prisma-stub
 
-# ============================== BACKEND SERVER ============================== #
-
-FROM debian:13-slim AS server
-
-WORKDIR /app
-
-ENV POETRY_HOME=/opt/poetry \
-    POETRY_NO_INTERACTION=1 \
-    POETRY_VIRTUALENVS_CREATE=true \
-    POETRY_VIRTUALENVS_IN_PROJECT=true \
-    DEBIAN_FRONTEND=noninteractive
-ENV PATH=/opt/poetry/bin:$PATH
-
-# Install Python, FFmpeg, ImageMagick, and CLI tools for agent use.
-# bubblewrap provides OS-level sandbox (whitelist-only FS + no network)
-# for the bash_exec MCP tool.
-# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    python3.13 \
-    python3-pip \
-    ffmpeg \
-    imagemagick \
-    jq \
-    ripgrep \
-    tree \
-    bubblewrap \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
-COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
-# Copy Node.js installation for Prisma
-COPY --from=builder /usr/bin/node /usr/bin/node
-COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
-COPY --from=builder /usr/bin/npm /usr/bin/npm
-COPY --from=builder /usr/bin/npx /usr/bin/npx
-COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
-
-WORKDIR /app/autogpt_platform/backend
-
-# Copy only the .venv from builder (not the entire /app directory)
-# The .venv includes the generated Prisma client
-COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
-ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
-
-# Copy dependency files + autogpt_libs (path dependency)
-COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
-COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
-
-# Copy backend code + docs (for Copilot docs search)
-COPY autogpt_platform/backend ./
-COPY docs /app/docs
-RUN poetry install --no-ansi --only-root
-
-ENV PORT=8000
-
-CMD ["poetry", "run", "rest"]
-
 # =============================== DB MIGRATOR =============================== #
 
 # Lightweight migrate stage - only needs Prisma CLI, not full Python environment
@@ -141,3 +84,59 @@ COPY autogpt_platform/backend/schema.prisma ./
 COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
 COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
 COPY autogpt_platform/backend/migrations ./migrations
+
+# ============================== BACKEND SERVER ============================== #
+
+FROM debian:13-slim AS server
+
+WORKDIR /app
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install Python, FFmpeg, ImageMagick, and CLI tools for agent use.
+# bubblewrap provides OS-level sandbox (whitelist-only FS + no network)
+# for the bash_exec MCP tool.
+# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3.13 \
+    python3-pip \
+    ffmpeg \
+    imagemagick \
+    jq \
+    ripgrep \
+    tree \
+    bubblewrap \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy poetry (build-time only, for `poetry install --only-root` to create entry points)
+COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
+COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
+# Copy Node.js installation for Prisma
+COPY --from=builder /usr/bin/node /usr/bin/node
+COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
+COPY --from=builder /usr/bin/npm /usr/bin/npm
+COPY --from=builder /usr/bin/npx /usr/bin/npx
+COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
+
+WORKDIR /app/autogpt_platform/backend
+
+# Copy only the .venv from builder (not the entire /app directory)
+# The .venv includes the generated Prisma client
+COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
+ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
+
+# Copy dependency files + autogpt_libs (path dependency)
+COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
+COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
+
+# Copy backend code + docs (for Copilot docs search)
+COPY autogpt_platform/backend ./
+COPY docs /app/docs
+# Install the project package to create entry point scripts in .venv/bin/
+# (e.g., rest, executor, ws, db, scheduler, notification - see [tool.poetry.scripts])
+RUN POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true \
+    poetry install --no-ansi --only-root
+
+ENV PORT=8000
+
+CMD ["rest"]

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

@@ -23,6 +23,7 @@ from .model import (
     ChatSession,
     append_and_save_message,
     create_chat_session,
+    delete_chat_session,
     get_chat_session,
     get_user_sessions,
 )
@@ -211,6 +212,43 @@ async def create_session(
     )
 
 
+@router.delete(
+    "/sessions/{session_id}",
+    dependencies=[Security(auth.requires_user)],
+    status_code=204,
+    responses={404: {"description": "Session not found or access denied"}},
+)
+async def delete_session(
+    session_id: str,
+    user_id: Annotated[str, Security(auth.get_user_id)],
+) -> Response:
+    """
+    Delete a chat session.
+
+    Permanently removes a chat session and all its messages.
+    Only the owner can delete their sessions.
+
+    Args:
+        session_id: The session ID to delete.
+        user_id: The authenticated user's ID.
+
+    Returns:
+        204 No Content on success.
+
+    Raises:
+        HTTPException: 404 if session not found or not owned by user.
+    """
+    deleted = await delete_chat_session(session_id, user_id)
+
+    if not deleted:
+        raise HTTPException(
+            status_code=404,
+            detail=f"Session {session_id} not found or access denied",
+        )
+
+    return Response(status_code=204)
+
+
 @router.get(
     "/sessions/{session_id}",
 )

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_validator
+from pydantic import BaseModel, Field, field_validator
 
 from backend.api.features.chat.model import ChatSession
 from backend.api.features.library import db as library_db
@@ -14,6 +14,7 @@ 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,
@@ -34,6 +35,7 @@ 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",
@@ -117,6 +119,11 @@ 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
@@ -146,6 +153,13 @@ 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": [],
         }
@@ -223,10 +237,14 @@ 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:
@@ -239,11 +257,22 @@ class AgentOutputTool(BaseTool):
                 return None, [], f"Execution '{execution_id}' not found"
             return execution, [], None
 
-        # Get completed executions with time filters
+        # Determine which statuses to query
+        statuses = [ExecutionStatus.COMPLETED]
+        if include_running:
+            statuses.extend(
+                [
+                    ExecutionStatus.RUNNING,
+                    ExecutionStatus.QUEUED,
+                    ExecutionStatus.INCOMPLETE,
+                ]
+            )
+
+        # Get executions with time filters
         executions = await execution_db.get_graph_executions(
             graph_id=graph_id,
             user_id=user_id,
-            statuses=[ExecutionStatus.COMPLETED],
+            statuses=statuses,
             created_time_gte=time_start,
             created_time_lte=time_end,
             limit=10,
@@ -310,10 +339,28 @@ class AgentOutputTool(BaseTool):
                 for e in available_executions[:5]
             ]
 
-        message = f"Found execution outputs for agent '{agent.name}'"
+        # 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})"
+
         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(
@@ -428,13 +475,17 @@ class AgentOutputTool(BaseTool):
         # Parse time expression
         time_start, time_end = parse_time_expression(input_data.run_time)
 
-        # Fetch execution(s)
+        # 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
         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:
@@ -443,4 +494,17 @@ 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

@@ -0,0 +1,124 @@
+"""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

@@ -192,6 +192,7 @@ 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

@@ -12,6 +12,7 @@ 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
@@ -24,6 +25,7 @@ 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,
@@ -70,6 +72,7 @@ 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",
@@ -151,6 +154,14 @@ 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": [],
         }
@@ -347,6 +358,7 @@ class RunAgentTool(BaseTool):
                     graph=graph,
                     graph_credentials=graph_credentials,
                     inputs=params.inputs,
+                    wait_for_result=params.wait_for_result,
                 )
 
         except NotFoundError as e:
@@ -430,8 +442,9 @@ class RunAgentTool(BaseTool):
         graph: GraphModel,
         graph_credentials: dict[str, CredentialsMetaInput],
         inputs: dict[str, Any],
+        wait_for_result: int = 0,
     ) -> ToolResponseBase:
-        """Execute an agent immediately."""
+        """Execute an agent immediately, optionally waiting for completion."""
         session_id = session.session_id
 
         # Check rate limits
@@ -468,6 +481,60 @@ 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. "

autogpt_platform/backend/docker-compose.test.yaml

@@ -53,7 +53,7 @@ services:
 
   rabbitmq:
     <<: *agpt-services
-    image: rabbitmq:management
+    image: rabbitmq:4.1.4
     container_name: rabbitmq
     healthcheck:
       test: rabbitmq-diagnostics -q ping
@@ -66,7 +66,6 @@ services:
       - RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
     ports:
       - "5672:5672"
-      - "15672:15672"
   clamav:
     image: clamav/clamav-debian:latest
     ports:

autogpt_platform/docker-compose.platform.yml

@@ -75,7 +75,7 @@ services:
       timeout: 5s
       retries: 5
   rabbitmq:
-    image: rabbitmq:management
+    image: rabbitmq:4.1.4
     container_name: rabbitmq
     healthcheck:
       test: rabbitmq-diagnostics -q ping
@@ -88,14 +88,13 @@ services:
       <<: *backend-env
     ports:
       - "5672:5672"
-      - "15672:15672"
 
   rest_server:
     build:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.rest"]
+    command: ["rest"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./
@@ -128,7 +127,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.exec"]
+    command: ["executor"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./
@@ -163,7 +162,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.ws"]
+    command: ["ws"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./
@@ -196,7 +195,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.db"]
+    command: ["db"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./
@@ -225,7 +224,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.scheduler"]
+    command: ["scheduler"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./
@@ -273,7 +272,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: server
-    command: ["python", "-m", "backend.notification"]
+    command: ["notification"] # points to entry in [tool.poetry.scripts] in pyproject.toml
     develop:
       watch:
         - path: ./

autogpt_platform/frontend/src/app/(platform)/copilot/CopilotPage.tsx

@@ -1,6 +1,8 @@
 "use client";
 
 import { SidebarProvider } from "@/components/ui/sidebar";
+// TODO: Replace with modern Dialog component when available
+import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
 import { ChatContainer } from "./components/ChatContainer/ChatContainer";
 import { ChatSidebar } from "./components/ChatSidebar/ChatSidebar";
 import { MobileDrawer } from "./components/MobileDrawer/MobileDrawer";
@@ -31,6 +33,12 @@ export function CopilotPage() {
     handleDrawerOpenChange,
     handleSelectSession,
     handleNewChat,
+    // Delete functionality
+    sessionToDelete,
+    isDeleting,
+    handleDeleteClick,
+    handleConfirmDelete,
+    handleCancelDelete,
   } = useCopilotPage();
 
   if (isUserLoading || !isLoggedIn) {
@@ -48,7 +56,19 @@ export function CopilotPage() {
     >
       {!isMobile && <ChatSidebar />}
       <div className="relative flex h-full w-full flex-col overflow-hidden bg-[#f8f8f9] px-0">
-        {isMobile && <MobileHeader onOpenDrawer={handleOpenDrawer} />}
+        {isMobile && (
+          <MobileHeader
+            onOpenDrawer={handleOpenDrawer}
+            showDelete={!!sessionId}
+            isDeleting={isDeleting}
+            onDelete={() => {
+              const session = sessions.find((s) => s.id === sessionId);
+              if (session) {
+                handleDeleteClick(session.id, session.title);
+              }
+            }}
+          />
+        )}
         <div className="flex-1 overflow-hidden">
           <ChatContainer
             messages={messages}
@@ -75,6 +95,16 @@ export function CopilotPage() {
           onOpenChange={handleDrawerOpenChange}
         />
       )}
+      {/* Delete confirmation dialog - rendered at top level for proper z-index on mobile */}
+      {isMobile && (
+        <DeleteConfirmDialog
+          entityType="chat"
+          entityName={sessionToDelete?.title || "Untitled chat"}
+          open={!!sessionToDelete}
+          onOpenChange={(open) => !open && handleCancelDelete()}
+          onDoDelete={handleConfirmDelete}
+        />
+      )}
     </SidebarProvider>
   );
 }

autogpt_platform/frontend/src/app/(platform)/copilot/components/ChatSidebar/ChatSidebar.tsx

@@ -1,8 +1,15 @@
 "use client";
-import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
+import {
+  getGetV2ListSessionsQueryKey,
+  useDeleteV2DeleteSession,
+  useGetV2ListSessions,
+} from "@/app/api/__generated__/endpoints/chat/chat";
 import { Button } from "@/components/atoms/Button/Button";
 import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
 import { Text } from "@/components/atoms/Text/Text";
+import { toast } from "@/components/molecules/Toast/use-toast";
+// TODO: Replace with modern Dialog component when available
+import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
 import {
   Sidebar,
   SidebarContent,
@@ -12,18 +19,52 @@ import {
   useSidebar,
 } from "@/components/ui/sidebar";
 import { cn } from "@/lib/utils";
-import { PlusCircleIcon, PlusIcon } from "@phosphor-icons/react";
+import { PlusCircleIcon, PlusIcon, TrashIcon } from "@phosphor-icons/react";
+import { useQueryClient } from "@tanstack/react-query";
 import { motion } from "framer-motion";
+import { useState } from "react";
 import { parseAsString, useQueryState } from "nuqs";
 
 export function ChatSidebar() {
   const { state } = useSidebar();
   const isCollapsed = state === "collapsed";
   const [sessionId, setSessionId] = useQueryState("sessionId", parseAsString);
+  const [sessionToDelete, setSessionToDelete] = useState<{
+    id: string;
+    title: string | null | undefined;
+  } | null>(null);
+
+  const queryClient = useQueryClient();
 
   const { data: sessionsResponse, isLoading: isLoadingSessions } =
     useGetV2ListSessions({ limit: 50 });
 
+  const { mutate: deleteSession, isPending: isDeleting } =
+    useDeleteV2DeleteSession({
+      mutation: {
+        onSuccess: () => {
+          // Invalidate sessions list to refetch
+          queryClient.invalidateQueries({
+            queryKey: getGetV2ListSessionsQueryKey(),
+          });
+          // If we deleted the current session, clear selection
+          if (sessionToDelete?.id === sessionId) {
+            setSessionId(null);
+          }
+          setSessionToDelete(null);
+        },
+        onError: (error) => {
+          toast({
+            title: "Failed to delete chat",
+            description:
+              error instanceof Error ? error.message : "An error occurred",
+            variant: "destructive",
+          });
+          setSessionToDelete(null);
+        },
+      },
+    });
+
   const sessions =
     sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
 
@@ -35,6 +76,22 @@ export function ChatSidebar() {
     setSessionId(id);
   }
 
+  function handleDeleteClick(
+    e: React.MouseEvent,
+    id: string,
+    title: string | null | undefined,
+  ) {
+    e.stopPropagation(); // Prevent session selection
+    if (isDeleting) return; // Prevent double-click during deletion
+    setSessionToDelete({ id, title });
+  }
+
+  function handleConfirmDelete() {
+    if (sessionToDelete) {
+      deleteSession({ sessionId: sessionToDelete.id });
+    }
+  }
+
   function formatDate(dateString: string) {
     const date = new Date(dateString);
     const now = new Date();
@@ -61,128 +118,152 @@ export function ChatSidebar() {
   }
 
   return (
-    <Sidebar
-      variant="inset"
-      collapsible="icon"
-      className="!top-[50px] !h-[calc(100vh-50px)] border-r border-zinc-100 px-0"
-    >
-      {isCollapsed && (
-        <SidebarHeader
-          className={cn(
-            "flex",
-            isCollapsed
-              ? "flex-row items-center justify-between gap-y-4 md:flex-col md:items-start md:justify-start"
-              : "flex-row items-center justify-between",
-          )}
-        >
-          <motion.div
-            key={isCollapsed ? "header-collapsed" : "header-expanded"}
-            className="flex flex-col items-center gap-3 pt-4"
-            initial={{ opacity: 0, filter: "blur(3px)" }}
-            animate={{ opacity: 1, filter: "blur(0px)" }}
-            transition={{ type: "spring", bounce: 0.2 }}
-          >
-            <div className="flex flex-col items-center gap-2">
-              <SidebarTrigger />
-              <Button
-                variant="ghost"
-                onClick={handleNewChat}
-                style={{ minWidth: "auto", width: "auto" }}
-              >
-                <PlusCircleIcon className="!size-5" />
-                <span className="sr-only">New Chat</span>
-              </Button>
-            </div>
-          </motion.div>
-        </SidebarHeader>
-      )}
-      <SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
-        {!isCollapsed && (
-          <motion.div
-            initial={{ opacity: 0 }}
-            animate={{ opacity: 1 }}
-            transition={{ duration: 0.2, delay: 0.1 }}
-            className="flex items-center justify-between px-3"
-          >
-            <Text variant="h3" size="body-medium">
-              Your chats
-            </Text>
-            <div className="relative left-6">
-              <SidebarTrigger />
-            </div>
-          </motion.div>
-        )}
-
-        {!isCollapsed && (
-          <motion.div
-            initial={{ opacity: 0 }}
-            animate={{ opacity: 1 }}
-            transition={{ duration: 0.2, delay: 0.15 }}
-            className="mt-4 flex flex-col gap-1"
-          >
-            {isLoadingSessions ? (
-              <div className="flex min-h-[30rem] items-center justify-center py-4">
-                <LoadingSpinner size="small" className="text-neutral-600" />
-              </div>
-            ) : sessions.length === 0 ? (
-              <p className="py-4 text-center text-sm text-neutral-500">
-                No conversations yet
-              </p>
-            ) : (
-              sessions.map((session) => (
-                <button
-                  key={session.id}
-                  onClick={() => handleSelectSession(session.id)}
-                  className={cn(
-                    "w-full rounded-lg px-3 py-2.5 text-left transition-colors",
-                    session.id === sessionId
-                      ? "bg-zinc-100"
-                      : "hover:bg-zinc-50",
-                  )}
-                >
-                  <div className="flex min-w-0 max-w-full flex-col overflow-hidden">
-                    <div className="min-w-0 max-w-full">
-                      <Text
-                        variant="body"
-                        className={cn(
-                          "truncate font-normal",
-                          session.id === sessionId
-                            ? "text-zinc-600"
-                            : "text-zinc-800",
-                        )}
-                      >
-                        {session.title || `Untitled chat`}
-                      </Text>
-                    </div>
-                    <Text variant="small" className="text-neutral-400">
-                      {formatDate(session.updated_at)}
-                    </Text>
-                  </div>
-                </button>
-              ))
+    <>
+      <Sidebar
+        variant="inset"
+        collapsible="icon"
+        className="!top-[50px] !h-[calc(100vh-50px)] border-r border-zinc-100 px-0"
+      >
+        {isCollapsed && (
+          <SidebarHeader
+            className={cn(
+              "flex",
+              isCollapsed
+                ? "flex-row items-center justify-between gap-y-4 md:flex-col md:items-start md:justify-start"
+                : "flex-row items-center justify-between",
             )}
-          </motion.div>
-        )}
-      </SidebarContent>
-      {!isCollapsed && sessionId && (
-        <SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
-          <motion.div
-            initial={{ opacity: 0 }}
-            animate={{ opacity: 1 }}
-            transition={{ duration: 0.2, delay: 0.2 }}
           >
-            <Button
-              variant="primary"
-              size="small"
-              onClick={handleNewChat}
-              className="w-full"
-              leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
+            <motion.div
+              key={isCollapsed ? "header-collapsed" : "header-expanded"}
+              className="flex flex-col items-center gap-3 pt-4"
+              initial={{ opacity: 0, filter: "blur(3px)" }}
+              animate={{ opacity: 1, filter: "blur(0px)" }}
+              transition={{ type: "spring", bounce: 0.2 }}
             >
-              New Chat
-            </Button>
-          </motion.div>
-        </SidebarFooter>
-      )}
-    </Sidebar>
+              <div className="flex flex-col items-center gap-2">
+                <SidebarTrigger />
+                <Button
+                  variant="ghost"
+                  onClick={handleNewChat}
+                  style={{ minWidth: "auto", width: "auto" }}
+                >
+                  <PlusCircleIcon className="!size-5" />
+                  <span className="sr-only">New Chat</span>
+                </Button>
+              </div>
+            </motion.div>
+          </SidebarHeader>
+        )}
+        <SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
+          {!isCollapsed && (
+            <motion.div
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ duration: 0.2, delay: 0.1 }}
+              className="flex items-center justify-between px-3"
+            >
+              <Text variant="h3" size="body-medium">
+                Your chats
+              </Text>
+              <div className="relative left-6">
+                <SidebarTrigger />
+              </div>
+            </motion.div>
+          )}
+
+          {!isCollapsed && (
+            <motion.div
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ duration: 0.2, delay: 0.15 }}
+              className="mt-4 flex flex-col gap-1"
+            >
+              {isLoadingSessions ? (
+                <div className="flex min-h-[30rem] items-center justify-center py-4">
+                  <LoadingSpinner size="small" className="text-neutral-600" />
+                </div>
+              ) : sessions.length === 0 ? (
+                <p className="py-4 text-center text-sm text-neutral-500">
+                  No conversations yet
+                </p>
+              ) : (
+                sessions.map((session) => (
+                  <div
+                    key={session.id}
+                    className={cn(
+                      "group relative w-full rounded-lg transition-colors",
+                      session.id === sessionId
+                        ? "bg-zinc-100"
+                        : "hover:bg-zinc-50",
+                    )}
+                  >
+                    <button
+                      onClick={() => handleSelectSession(session.id)}
+                      className="w-full px-3 py-2.5 pr-10 text-left"
+                    >
+                      <div className="flex min-w-0 max-w-full flex-col overflow-hidden">
+                        <div className="min-w-0 max-w-full">
+                          <Text
+                            variant="body"
+                            className={cn(
+                              "truncate font-normal",
+                              session.id === sessionId
+                                ? "text-zinc-600"
+                                : "text-zinc-800",
+                            )}
+                          >
+                            {session.title || `Untitled chat`}
+                          </Text>
+                        </div>
+                        <Text variant="small" className="text-neutral-400">
+                          {formatDate(session.updated_at)}
+                        </Text>
+                      </div>
+                    </button>
+                    <button
+                      onClick={(e) =>
+                        handleDeleteClick(e, session.id, session.title)
+                      }
+                      disabled={isDeleting}
+                      className="absolute right-2 top-1/2 -translate-y-1/2 rounded p-1.5 text-zinc-400 opacity-0 transition-all group-hover:opacity-100 hover:bg-red-100 hover:text-red-600 focus-visible:opacity-100 disabled:cursor-not-allowed disabled:opacity-50"
+                      aria-label="Delete chat"
+                    >
+                      <TrashIcon className="h-4 w-4" />
+                    </button>
+                  </div>
+                ))
+              )}
+            </motion.div>
+          )}
+        </SidebarContent>
+        {!isCollapsed && sessionId && (
+          <SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
+            <motion.div
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ duration: 0.2, delay: 0.2 }}
+            >
+              <Button
+                variant="primary"
+                size="small"
+                onClick={handleNewChat}
+                className="w-full"
+                leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
+              >
+                New Chat
+              </Button>
+            </motion.div>
+          </SidebarFooter>
+        )}
+      </Sidebar>
+
+      <DeleteConfirmDialog
+        entityType="chat"
+        entityName={sessionToDelete?.title || "Untitled chat"}
+        open={!!sessionToDelete}
+        onOpenChange={(open) => !open && setSessionToDelete(null)}
+        onDoDelete={handleConfirmDelete}
+      />
+    </>
   );
 }

autogpt_platform/frontend/src/app/(platform)/copilot/components/MobileHeader/MobileHeader.tsx

@@ -1,22 +1,46 @@
 import { Button } from "@/components/atoms/Button/Button";
 import { NAVBAR_HEIGHT_PX } from "@/lib/constants";
-import { ListIcon } from "@phosphor-icons/react";
+import { ListIcon, TrashIcon } from "@phosphor-icons/react";
 
 interface Props {
   onOpenDrawer: () => void;
+  showDelete?: boolean;
+  isDeleting?: boolean;
+  onDelete?: () => void;
 }
 
-export function MobileHeader({ onOpenDrawer }: Props) {
+export function MobileHeader({
+  onOpenDrawer,
+  showDelete,
+  isDeleting,
+  onDelete,
+}: Props) {
   return (
-    <Button
-      variant="icon"
-      size="icon"
-      aria-label="Open sessions"
-      onClick={onOpenDrawer}
-      className="fixed z-50 bg-white shadow-md"
+    <div
+      className="fixed z-50 flex gap-2"
       style={{ left: "1rem", top: `${NAVBAR_HEIGHT_PX + 20}px` }}
     >
-      <ListIcon width="1.25rem" height="1.25rem" />
-    </Button>
+      <Button
+        variant="icon"
+        size="icon"
+        aria-label="Open sessions"
+        onClick={onOpenDrawer}
+        className="bg-white shadow-md"
+      >
+        <ListIcon width="1.25rem" height="1.25rem" />
+      </Button>
+      {showDelete && onDelete && (
+        <Button
+          variant="icon"
+          size="icon"
+          aria-label="Delete current chat"
+          onClick={onDelete}
+          disabled={isDeleting}
+          className="bg-white text-red-500 shadow-md hover:bg-red-50 hover:text-red-600 disabled:opacity-50"
+        >
+          <TrashIcon width="1.25rem" height="1.25rem" />
+        </Button>
+      )}
+    </div>
   );
 }

autogpt_platform/frontend/src/app/(platform)/copilot/tools/CreateAgent/CreateAgent.tsx

@@ -4,11 +4,11 @@ import { Button } from "@/components/atoms/Button/Button";
 import { Text } from "@/components/atoms/Text/Text";
 import {
   BookOpenIcon,
-  CheckFatIcon,
   PencilSimpleIcon,
   WarningDiamondIcon,
 } from "@phosphor-icons/react";
 import type { ToolUIPart } from "ai";
+import Image from "next/image";
 import NextLink from "next/link";
 import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
 import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
@@ -24,6 +24,7 @@ import {
   ClarificationQuestionsCard,
   ClarifyingQuestion,
 } from "./components/ClarificationQuestionsCard";
+import sparklesImg from "./components/MiniGame/assets/sparkles.png";
 import { MiniGame } from "./components/MiniGame/MiniGame";
 import {
   AccordionIcon,
@@ -83,7 +84,8 @@ function getAccordionMeta(output: CreateAgentToolOutput) {
   ) {
     return {
       icon,
-      title: "Creating agent, this may take a few minutes. Sit back and relax.",
+      title:
+        "Creating agent, this may take a few minutes. Play while you wait.",
       expanded: true,
     };
   }
@@ -167,16 +169,20 @@ export function CreateAgentTool({ part }: Props) {
           {isAgentSavedOutput(output) && (
             <div className="rounded-xl border border-border/60 bg-card p-4 shadow-sm">
               <div className="flex items-baseline gap-2">
-                <CheckFatIcon
-                  size={18}
-                  weight="regular"
-                  className="relative top-1 text-green-500"
+                <Image
+                  src={sparklesImg}
+                  alt="sparkles"
+                  width={24}
+                  height={24}
+                  className="relative top-1"
                 />
                 <Text
                   variant="body-medium"
-                  className="text-blacks mb-2 text-[16px]"
+                  className="mb-2 text-[16px] text-black"
                 >
-                  {output.message}
+                  Agent{" "}
+                  <span className="text-violet-600">{output.agent_name}</span>{" "}
+                  has been saved to your library!
                 </Text>
               </div>
               <div className="mt-3 flex flex-wrap gap-4">

autogpt_platform/frontend/src/app/(platform)/copilot/tools/CreateAgent/components/MiniGame/MiniGame.tsx

@@ -2,20 +2,65 @@
 
 import { useMiniGame } from "./useMiniGame";
 
+function Key({ children }: { children: React.ReactNode }) {
+  return <strong>[{children}]</strong>;
+}
+
 export function MiniGame() {
-  const { canvasRef } = useMiniGame();
+  const { canvasRef, activeMode, showOverlay, score, highScore, onContinue } =
+    useMiniGame();
+
+  const isRunActive =
+    activeMode === "run" || activeMode === "idle" || activeMode === "over";
+
+  let overlayText: string | undefined;
+  let buttonLabel = "Continue";
+  if (activeMode === "idle") {
+    buttonLabel = "Start";
+  } else if (activeMode === "boss-intro") {
+    overlayText = "Face the bandit!";
+  } else if (activeMode === "boss-defeated") {
+    overlayText = "Great job, keep on going";
+  } else if (activeMode === "over") {
+    overlayText = `Score: ${score} / Record: ${highScore}`;
+    buttonLabel = "Retry";
+  }
 
   return (
-    <div
-      className="w-full overflow-hidden rounded-md bg-background text-foreground"
-      style={{ border: "1px solid #d17fff" }}
-    >
-      <canvas
-        ref={canvasRef}
-        tabIndex={0}
-        className="block w-full outline-none"
-        style={{ imageRendering: "pixelated" }}
-      />
+    <div className="flex flex-col gap-2">
+      <p className="text-sm font-medium text-purple-500">
+        {isRunActive ? (
+          <>
+            Run mode: <Key>Space</Key> to jump
+          </>
+        ) : (
+          <>
+            Duel mode: <Key>←→</Key> to move · <Key>Z</Key> to attack ·{" "}
+            <Key>X</Key> to block · <Key>Space</Key> to jump
+          </>
+        )}
+      </p>
+      <div className="relative w-full overflow-hidden rounded-md border border-accent bg-background text-foreground">
+        <canvas
+          ref={canvasRef}
+          tabIndex={0}
+          className="block w-full outline-none"
+        />
+        {showOverlay && (
+          <div className="absolute inset-0 flex flex-col items-center justify-center gap-3 bg-black/40">
+            {overlayText && (
+              <p className="text-lg font-bold text-white">{overlayText}</p>
+            )}
+            <button
+              type="button"
+              onClick={onContinue}
+              className="rounded-md bg-white px-4 py-2 text-sm font-semibold text-zinc-800 shadow-md transition-colors hover:bg-zinc-100"
+            >
+              {buttonLabel}
+            </button>
+          </div>
+        )}
+      </div>
     </div>
   );
 }

autogpt_platform/frontend/src/app/(platform)/copilot/tools/CreateAgent/helpers.tsx

@@ -136,7 +136,7 @@ export function getAnimationText(part: {
       if (isOperationPendingOutput(output)) return "Agent creation in progress";
       if (isOperationInProgressOutput(output))
         return "Agent creation already in progress";
-      if (isAgentSavedOutput(output)) return `Saved "${output.agent_name}"`;
+      if (isAgentSavedOutput(output)) return `Saved ${output.agent_name}`;
       if (isAgentPreviewOutput(output)) return `Preview "${output.agent_name}"`;
       if (isClarificationNeededOutput(output)) return "Needs clarification";
       return "Error creating agent";

autogpt_platform/frontend/src/app/(platform)/copilot/tools/EditAgent/EditAgent.tsx

@@ -5,7 +5,6 @@ import type { ToolUIPart } from "ai";
 import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
 import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
 import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
-import { ProgressBar } from "../../components/ProgressBar/ProgressBar";
 import {
   ContentCardDescription,
   ContentCodeBlock,
@@ -15,7 +14,7 @@ import {
   ContentMessage,
 } from "../../components/ToolAccordion/AccordionContent";
 import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
-import { useAsymptoticProgress } from "../../hooks/useAsymptoticProgress";
+import { MiniGame } from "../CreateAgent/components/MiniGame/MiniGame";
 import {
   ClarificationQuestionsCard,
   ClarifyingQuestion,
@@ -54,6 +53,7 @@ function getAccordionMeta(output: EditAgentToolOutput): {
   title: string;
   titleClassName?: string;
   description?: string;
+  expanded?: boolean;
 } {
   const icon = <AccordionIcon />;
 
@@ -80,7 +80,11 @@ function getAccordionMeta(output: EditAgentToolOutput): {
     isOperationPendingOutput(output) ||
     isOperationInProgressOutput(output)
   ) {
-    return { icon: <OrbitLoader size={32} />, title: "Editing agent" };
+    return {
+      icon: <OrbitLoader size={32} />,
+      title: "Editing agent, this may take a few minutes. Play while you wait.",
+      expanded: true,
+    };
   }
   return {
     icon: (
@@ -105,7 +109,6 @@ export function EditAgentTool({ part }: Props) {
     (isOperationStartedOutput(output) ||
       isOperationPendingOutput(output) ||
       isOperationInProgressOutput(output));
-  const progress = useAsymptoticProgress(isOperating);
   const hasExpandableContent =
     part.state === "output-available" &&
     !!output &&
@@ -149,9 +152,9 @@ export function EditAgentTool({ part }: Props) {
         <ToolAccordion {...getAccordionMeta(output)}>
           {isOperating && (
             <ContentGrid>
-              <ProgressBar value={progress} className="max-w-[280px]" />
+              <MiniGame />
               <ContentHint>
-                This could take a few minutes, grab a coffee ☕
+                This could take a few minutes — play while you wait!
               </ContentHint>
             </ContentGrid>
           )}

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunAgent/RunAgent.tsx

@@ -2,8 +2,14 @@
 
 import type { ToolUIPart } from "ai";
 import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
+import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
 import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
-import { ContentMessage } from "../../components/ToolAccordion/AccordionContent";
+import {
+  ContentGrid,
+  ContentHint,
+  ContentMessage,
+} from "../../components/ToolAccordion/AccordionContent";
+import { MiniGame } from "../CreateAgent/components/MiniGame/MiniGame";
 import {
   getAccordionMeta,
   getAnimationText,
@@ -60,6 +66,21 @@ export function RunAgentTool({ part }: Props) {
         />
       </div>
 
+      {isStreaming && !output && (
+        <ToolAccordion
+          icon={<OrbitLoader size={32} />}
+          title="Running agent, this may take a few minutes. Play while you wait."
+          expanded={true}
+        >
+          <ContentGrid>
+            <MiniGame />
+            <ContentHint>
+              This could take a few minutes — play while you wait!
+            </ContentHint>
+          </ContentGrid>
+        </ToolAccordion>
+      )}
+
       {hasExpandableContent && output && (
         <ToolAccordion {...getAccordionMeta(output)}>
           {isRunAgentExecutionStartedOutput(output) && (

autogpt_platform/frontend/src/app/(platform)/copilot/useCopilotPage.ts

@@ -1,10 +1,15 @@
-import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
+import {
+  getGetV2ListSessionsQueryKey,
+  useDeleteV2DeleteSession,
+  useGetV2ListSessions,
+} from "@/app/api/__generated__/endpoints/chat/chat";
 import { toast } from "@/components/molecules/Toast/use-toast";
 import { useBreakpoint } from "@/lib/hooks/useBreakpoint";
 import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
 import { useChat } from "@ai-sdk/react";
+import { useQueryClient } from "@tanstack/react-query";
 import { DefaultChatTransport } from "ai";
-import { useEffect, useMemo, useRef, useState } from "react";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import { useChatSession } from "./useChatSession";
 import { useLongRunningToolPolling } from "./hooks/useLongRunningToolPolling";
 
@@ -14,6 +19,11 @@ export function useCopilotPage() {
   const { isUserLoading, isLoggedIn } = useSupabase();
   const [isDrawerOpen, setIsDrawerOpen] = useState(false);
   const [pendingMessage, setPendingMessage] = useState<string | null>(null);
+  const [sessionToDelete, setSessionToDelete] = useState<{
+    id: string;
+    title: string | null | undefined;
+  } | null>(null);
+  const queryClient = useQueryClient();
 
   const {
     sessionId,
@@ -24,6 +34,30 @@ export function useCopilotPage() {
     isCreatingSession,
   } = useChatSession();
 
+  const { mutate: deleteSessionMutation, isPending: isDeleting } =
+    useDeleteV2DeleteSession({
+      mutation: {
+        onSuccess: () => {
+          queryClient.invalidateQueries({
+            queryKey: getGetV2ListSessionsQueryKey(),
+          });
+          if (sessionToDelete?.id === sessionId) {
+            setSessionId(null);
+          }
+          setSessionToDelete(null);
+        },
+        onError: (error) => {
+          toast({
+            title: "Failed to delete chat",
+            description:
+              error instanceof Error ? error.message : "An error occurred",
+            variant: "destructive",
+          });
+          setSessionToDelete(null);
+        },
+      },
+    });
+
   const breakpoint = useBreakpoint();
   const isMobile =
     breakpoint === "base" || breakpoint === "sm" || breakpoint === "md";
@@ -143,6 +177,24 @@ export function useCopilotPage() {
     if (isMobile) setIsDrawerOpen(false);
   }
 
+  const handleDeleteClick = useCallback(
+    (id: string, title: string | null | undefined) => {
+      if (isDeleting) return;
+      setSessionToDelete({ id, title });
+    },
+    [isDeleting],
+  );
+
+  const handleConfirmDelete = useCallback(() => {
+    if (sessionToDelete) {
+      deleteSessionMutation({ sessionId: sessionToDelete.id });
+    }
+  }, [sessionToDelete, deleteSessionMutation]);
+
+  const handleCancelDelete = useCallback(() => {
+    setSessionToDelete(null);
+  }, []);
+
   return {
     sessionId,
     messages,
@@ -165,5 +217,11 @@ export function useCopilotPage() {
     handleDrawerOpenChange,
     handleSelectSession,
     handleNewChat,
+    // Delete functionality
+    sessionToDelete,
+    isDeleting,
+    handleDeleteClick,
+    handleConfirmDelete,
+    handleCancelDelete,
   };
 }

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

@@ -1151,6 +1151,36 @@
       }
     },
     "/api/chat/sessions/{session_id}": {
+      "delete": {
+        "tags": ["v2", "chat", "chat"],
+        "summary": "Delete Session",
+        "description": "Delete a chat session.\n\nPermanently removes a chat session and all its messages.\nOnly the owner can delete their sessions.\n\nArgs:\n    session_id: The session ID to delete.\n    user_id: The authenticated user's ID.\n\nReturns:\n    204 No Content on success.\n\nRaises:\n    HTTPException: 404 if session not found or not owned by user.",
+        "operationId": "deleteV2DeleteSession",
+        "security": [{ "HTTPBearerJWT": [] }],
+        "parameters": [
+          {
+            "name": "session_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Session Id" }
+          }
+        ],
+        "responses": {
+          "204": { "description": "Successful Response" },
+          "401": {
+            "$ref": "#/components/responses/HTTP401NotAuthenticatedError"
+          },
+          "404": { "description": "Session not found or access denied" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
       "get": {
         "tags": ["v2", "chat", "chat"],
         "summary": "Get Session",

autogpt_platform/frontend/src/components/__legacy__/ui/dialog.tsx

@@ -115,7 +115,7 @@ const DialogFooter = ({
 }: React.HTMLAttributes<HTMLDivElement>) => (
   <div
     className={cn(
-      "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
+      "flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",
       className,
     )}
     {...props}

autogpt_platform/frontend/src/types/images.d.ts

@@ -0,0 +1,4 @@
+declare module "*.png" {
+  const content: import("next/image").StaticImageData;
+  export default content;
+}