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1 Commits

Author SHA1 Message Date
Lluis Agusti
0fe6cc8dc7 refactor(frontend): remove OldAgentLibraryView and NEW_AGENT_RUNS flag
- Delete the entire OldAgentLibraryView directory (13 files, ~2200 lines)
- Remove the legacy agent library page at library/legacy/[id]
- Remove the NEW_AGENT_RUNS feature flag from the Flag enum and defaults
- Move cron-scheduler components to shared CronScheduler directory
- Move agent-run-draft-view and agent-status-chip to legacy-builder
- Update all import paths in consuming files

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-12 19:52:48 +08:00
19 changed files with 10 additions and 2195 deletions

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

View File

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

View File

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

View File

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

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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