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

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/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aio-pika"
@@ -374,7 +374,7 @@ description = "LTS Port of Python audioop"
 optional = false
 python-versions = ">=3.13"
 groups = ["main"]
-markers = "python_version == \"3.13\""
+markers = "python_version >= \"3.13\""
 files = [
     {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_universal2.whl", hash = "sha256:fd3d4602dc64914d462924a08c1a9816435a2155d74f325853c1f1ac3b2d9800"},
     {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_x86_64.whl", hash = "sha256:550c114a8df0aafe9a05442a1162dfc8fec37e9af1d625ae6060fed6e756f303"},
@@ -474,7 +474,7 @@ description = "Backport of asyncio.Runner, a context manager that controls event
 optional = false
 python-versions = "<3.11,>=3.8"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5"},
     {file = "backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162"},
@@ -487,7 +487,7 @@ description = "Backport of CPython tarfile module"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version < \"3.12\""
+markers = "python_version <= \"3.11\""
 files = [
     {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"},
     {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"},
@@ -659,6 +659,7 @@ description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\""
 files = [
     {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"},
     {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
@@ -1360,7 +1361,7 @@ description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"},
     {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"},
@@ -1389,21 +1390,18 @@ tests = ["coverage", "coveralls", "dill", "mock", "nose"]
 
 [[package]]
 name = "faker"
-version = "40.4.0"
+version = "38.3.0"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "faker-40.4.0-py3-none-any.whl", hash = "sha256:486d43c67ebbb136bc932406418744f9a0bdf2c07f77703ea78b58b77e9aa443"},
-    {file = "faker-40.4.0.tar.gz", hash = "sha256:76f8e74a3df28c3e2ec2caafa956e19e37a132fdc7ea067bc41783affcfee364"},
+    {file = "faker-38.3.0-py3-none-any.whl", hash = "sha256:b5499b6f2d090dec9b90ded8eae6a27daed10fda3e0dba7a182bb2be8a4d4a6b"},
+    {file = "faker-38.3.0.tar.gz", hash = "sha256:4997de214510db9328ed83b9591891c66e91d7e9a903e5744e0255a68f51ac16"},
 ]
 
 [package.dependencies]
-tzdata = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-tzdata = ["tzdata"]
+tzdata = "*"
 
 [[package]]
 name = "fastapi"
@@ -1845,16 +1843,16 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
-    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
     {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 requests = ">=2.18.0,<3.0.0"
@@ -1965,8 +1963,8 @@ google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras
 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
 grpcio = ">=1.33.2,<2.0.0"
 proto-plus = [
-    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
     {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
@@ -2026,9 +2024,9 @@ google-cloud-core = ">=2.0.0,<3.0.0"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0"
 opentelemetry-api = ">=1.9.0"
 proto-plus = [
+    {version = ">=1.22.0,<2.0.0"},
+    {version = ">=1.22.2,<2.0.0", markers = "python_version >= \"3.11\""},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
-    {version = ">=1.22.2,<2.0.0", markers = "python_version >= \"3.11\" and python_version < \"3.13\""},
-    {version = ">=1.22.0,<2.0.0", markers = "python_version < \"3.11\""},
 ]
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
@@ -3872,7 +3870,7 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"},
     {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"},
@@ -4357,9 +4355,9 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -4602,8 +4600,8 @@ pinecone-plugin-interface = ">=0.0.7,<0.0.8"
 python-dateutil = ">=2.5.3"
 typing-extensions = ">=3.7.4"
 urllib3 = [
-    {version = ">=1.26.5", markers = "python_version >= \"3.12\" and python_version < \"4.0\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""},
+    {version = ">=1.26.5", markers = "python_version >= \"3.12\" and python_version < \"4.0\""},
 ]
 
 [package.extras]
@@ -5431,7 +5429,7 @@ description = "C parser in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "implementation_name != \"PyPy\""
+markers = "(platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\") and implementation_name != \"PyPy\""
 files = [
     {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"},
     {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"},
@@ -6200,10 +6198,10 @@ files = [
 grpcio = ">=1.41.0"
 httpx = {version = ">=0.20.0", extras = ["http2"]}
 numpy = [
-    {version = ">=2.1.0", markers = "python_version == \"3.13\""},
-    {version = ">=1.21", markers = "python_version == \"3.11\""},
-    {version = ">=1.26", markers = "python_version == \"3.12\""},
     {version = ">=1.21,<2.3.0", markers = "python_version == \"3.10\""},
+    {version = ">=1.21", markers = "python_version == \"3.11\""},
+    {version = ">=2.1.0", markers = "python_version == \"3.13\""},
+    {version = ">=1.26", markers = "python_version == \"3.12\""},
 ]
 portalocker = ">=2.7.0,<4.0"
 protobuf = ">=3.20.0"
@@ -7409,7 +7407,7 @@ description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"},
     {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"},
@@ -7585,7 +7583,6 @@ files = [
     {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
     {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
 ]
-markers = {dev = "platform_system == \"Windows\""}
 
 [[package]]
 name = "tzlocal"
@@ -8533,4 +8530,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "73d5ca72e97dce394fe111708cb5be0c714f9812b016de45ad0b84de85a833bc"
+content-hash = "55e095de555482f0fe47de7695f390fe93e7bcf739b31c391b2e5e3c3d938ae3"

autogpt_platform/backend/pyproject.toml

@@ -93,7 +93,7 @@ posthog = "^7.6.0"
 [tool.poetry.group.dev.dependencies]
 aiohappyeyeballs = "^2.6.1"
 black = "^24.10.0"
-faker = "^40.4.0"
+faker = "^38.2.0"
 httpx = "^0.28.1"
 isort = "^5.13.2"
 poethepoet = "^0.41.0"