feat(agent): add execution-plan skeleton workflow

components/canvas/nodes/agent-node.tsx

@@ -37,6 +37,11 @@ type AgentNodeData = {
   templateId?: string;
   canvasId?: string;
   modelId?: string;
+  executionSteps?: Array<{ stepIndex?: number; stepTotal?: number }>;
+  executionStepIndex?: number;
+  executionStepTotal?: number;
+  _executionStepIndex?: number;
+  _executionStepTotal?: number;
   clarificationQuestions?: AgentClarificationQuestion[];
   clarificationAnswers?: AgentClarificationAnswerMap | Array<{ id: string; value: string }>;
   _status?: string;
@@ -197,6 +202,51 @@ export default function AgentNode({ id, data, selected }: NodeProps<AgentNodeTyp
   const resolvedModelId = selectedModel?.id ?? DEFAULT_AGENT_MODEL_ID;
   const creditCost = selectedModel?.creditCost ?? 0;
   const clarificationQuestions = nodeData.clarificationQuestions ?? [];
+  const isExecutionActive = nodeData._status === "analyzing" || nodeData._status === "executing";
+  const executionProgressLine = useMemo(() => {
+    if (nodeData._status !== "executing") {
+      return null;
+    }
+
+    const statusMessage = typeof nodeData._statusMessage === "string" ? nodeData._statusMessage.trim() : "";
+    if (statusMessage.length > 0) {
+      return statusMessage;
+    }
+
+    const totalFromSteps = Array.isArray(nodeData.executionSteps) ? nodeData.executionSteps.length : 0;
+    const stepIndexCandidate =
+      typeof nodeData.executionStepIndex === "number"
+        ? nodeData.executionStepIndex
+        : nodeData._executionStepIndex;
+    const stepTotalCandidate =
+      typeof nodeData.executionStepTotal === "number"
+        ? nodeData.executionStepTotal
+        : nodeData._executionStepTotal;
+    const hasExecutionNumbers =
+      typeof stepIndexCandidate === "number" &&
+      Number.isFinite(stepIndexCandidate) &&
+      typeof stepTotalCandidate === "number" &&
+      Number.isFinite(stepTotalCandidate) &&
+      stepTotalCandidate > 0;
+
+    if (hasExecutionNumbers) {
+      return `Executing step ${Math.max(0, Math.floor(stepIndexCandidate)) + 1}/${Math.floor(stepTotalCandidate)}`;
+    }
+
+    if (totalFromSteps > 0) {
+      return `Executing planned outputs (${totalFromSteps} total)`;
+    }
+
+    return "Executing planned outputs";
+  }, [
+    nodeData._executionStepIndex,
+    nodeData._executionStepTotal,
+    nodeData._status,
+    nodeData._statusMessage,
+    nodeData.executionStepIndex,
+    nodeData.executionStepTotal,
+    nodeData.executionSteps,
+  ]);
 
   const persistNodeData = useCallback(
     (patch: Partial<AgentNodeData>) => {
@@ -239,6 +289,10 @@ export default function AgentNode({ id, data, selected }: NodeProps<AgentNodeTyp
   );
 
   const handleRunAgent = useCallback(async () => {
+    if (isExecutionActive) {
+      return;
+    }
+
     if (status.isOffline) {
       toast.warning(
         "Offline aktuell nicht unterstuetzt",
@@ -257,7 +311,7 @@ export default function AgentNode({ id, data, selected }: NodeProps<AgentNodeTyp
       nodeId: id as Id<"nodes">,
       modelId: resolvedModelId,
     });
-  }, [nodeData.canvasId, id, resolvedModelId, runAgent, status.isOffline]);
+  }, [isExecutionActive, nodeData.canvasId, id, resolvedModelId, runAgent, status.isOffline]);
 
   const handleSubmitClarification = useCallback(async () => {
     if (status.isOffline) {
@@ -298,6 +352,11 @@ export default function AgentNode({ id, data, selected }: NodeProps<AgentNodeTyp
         id="agent-in"
         className="!h-3 !w-3 !bg-amber-500 !border-2 !border-background"
       />
+      <Handle
+        type="source"
+        position={Position.Right}
+        className="!h-3 !w-3 !bg-amber-500 !border-2 !border-background"
+      />
 
       <div className="flex h-full flex-col gap-3 p-3">
         <header className="space-y-1">
@@ -334,10 +393,15 @@ export default function AgentNode({ id, data, selected }: NodeProps<AgentNodeTyp
           <button
             type="button"
             onClick={() => void handleRunAgent()}
-            className="nodrag w-full rounded-md bg-amber-600 px-3 py-2 text-sm font-medium text-white hover:bg-amber-700"
+            disabled={isExecutionActive}
+            aria-busy={isExecutionActive}
+            className="nodrag w-full rounded-md bg-amber-600 px-3 py-2 text-sm font-medium text-white hover:bg-amber-700 disabled:cursor-not-allowed disabled:opacity-60"
           >
             Run agent
           </button>
+          {executionProgressLine ? (
+            <p className="text-[11px] text-amber-800/90 dark:text-amber-200/90">{executionProgressLine}</p>
+          ) : null}
         </section>
 
         {clarificationQuestions.length > 0 ? (

components/canvas/nodes/agent-output-node.tsx

@@ -5,6 +5,10 @@ import { Handle, Position, type Node, type NodeProps } from "@xyflow/react";
 import BaseNodeWrapper from "./base-node-wrapper";
 
 type AgentOutputNodeData = {
+  isSkeleton?: boolean;
+  stepId?: string;
+  stepIndex?: number;
+  stepTotal?: number;
   title?: string;
   channel?: string;
   outputType?: string;
@@ -17,6 +21,25 @@ type AgentOutputNodeType = Node<AgentOutputNodeData, "agent-output">;
 
 export default function AgentOutputNode({ data, selected }: NodeProps<AgentOutputNodeType>) {
   const nodeData = data as AgentOutputNodeData;
+  const isSkeleton = nodeData.isSkeleton === true;
+  const hasStepCounter =
+    typeof nodeData.stepIndex === "number" &&
+    Number.isFinite(nodeData.stepIndex) &&
+    typeof nodeData.stepTotal === "number" &&
+    Number.isFinite(nodeData.stepTotal) &&
+    nodeData.stepTotal > 0;
+  const safeStepIndex =
+    typeof nodeData.stepIndex === "number" && Number.isFinite(nodeData.stepIndex)
+      ? Math.max(0, Math.floor(nodeData.stepIndex))
+      : 0;
+  const safeStepTotal =
+    typeof nodeData.stepTotal === "number" && Number.isFinite(nodeData.stepTotal)
+      ? Math.max(1, Math.floor(nodeData.stepTotal))
+      : 1;
+  const stepCounter = hasStepCounter
+    ? `${safeStepIndex + 1}/${safeStepTotal}`
+    : null;
+  const resolvedTitle = nodeData.title ?? (isSkeleton ? "Planned output" : "Agent output");
 
   return (
     <BaseNodeWrapper
@@ -24,7 +47,7 @@ export default function AgentOutputNode({ data, selected }: NodeProps<AgentOutpu
       selected={selected}
       status={nodeData._status}
       statusMessage={nodeData._statusMessage}
-      className="min-w-[300px] border-amber-500/30"
+      className={`min-w-[300px] border-amber-500/30 ${isSkeleton ? "opacity-80" : ""}`}
     >
       <Handle
         type="target"
@@ -35,9 +58,22 @@ export default function AgentOutputNode({ data, selected }: NodeProps<AgentOutpu
 
       <div className="flex h-full flex-col gap-3 p-3">
         <header className="space-y-1">
-          <p className="truncate text-xs font-semibold text-foreground" title={nodeData.title}>
+          <div className="flex items-center justify-between gap-2">
-            {nodeData.title ?? "Agent output"}
+            <p className="truncate text-xs font-semibold text-foreground" title={resolvedTitle}>
+              {resolvedTitle}
             </p>
+            {isSkeleton ? (
+              <span className="shrink-0 rounded-full border border-amber-500/50 bg-amber-500/10 px-2 py-0.5 text-[10px] font-semibold uppercase tracking-wide text-amber-800 dark:text-amber-200">
+                Skeleton
+              </span>
+            ) : null}
+          </div>
+          {isSkeleton ? (
+            <p className="text-[11px] text-amber-700/90 dark:text-amber-300/90">
+              Planned output{stepCounter ? ` - ${stepCounter}` : ""}
+              {nodeData.stepId ? ` - ${nodeData.stepId}` : ""}
+            </p>
+          ) : null}
         </header>
 
         <section className="space-y-1">
@@ -62,9 +98,18 @@ export default function AgentOutputNode({ data, selected }: NodeProps<AgentOutpu
           <p className="text-[10px] font-semibold uppercase tracking-wide text-muted-foreground">
             Body
           </p>
+          {isSkeleton ? (
+            <div
+              data-testid="agent-output-skeleton-body"
+              className="animate-pulse rounded-md border border-dashed border-amber-500/40 bg-gradient-to-r from-amber-500/10 via-amber-500/20 to-amber-500/10 p-3"
+            >
+              <p className="text-[11px] text-amber-800/90 dark:text-amber-200/90">Planned content</p>
+            </div>
+          ) : (
             <p className="line-clamp-6 whitespace-pre-wrap text-xs text-foreground/90">
               {nodeData.body ?? ""}
             </p>
+          )}
         </section>
       </div>
     </BaseNodeWrapper>

convex/agents.ts

@@ -14,9 +14,11 @@ import { getNodeDataRecord } from "./ai_node_data";
 import { formatTerminalStatusMessage } from "./ai_errors";
 import {
   areClarificationAnswersComplete,
+  normalizeAgentExecutionPlan,
   normalizeAgentOutputDraft,
   type AgentClarificationAnswerMap,
   type AgentClarificationQuestion,
+  type AgentExecutionStep,
   type AgentOutputDraft,
 } from "../lib/agent-run-contract";
 import {
@@ -31,7 +33,7 @@ import { normalizePublicTier } from "../lib/tier-credits";
 const ANALYZE_SCHEMA: Record<string, unknown> = {
   type: "object",
   additionalProperties: false,
-  required: ["analysisSummary", "clarificationQuestions"],
+  required: ["analysisSummary", "clarificationQuestions", "executionPlan"],
   properties: {
     analysisSummary: { type: "string" },
     clarificationQuestions: {
@@ -48,20 +50,37 @@ const ANALYZE_SCHEMA: Record<string, unknown> = {
         },
       },
     },
-  },
+    executionPlan: {
-};
-
-const EXECUTE_SCHEMA: Record<string, unknown> = {
       type: "object",
       additionalProperties: false,
-  required: ["summary", "outputs"],
+      required: ["summary", "steps"],
       properties: {
         summary: { type: "string" },
-    outputs: {
+        steps: {
           type: "array",
           minItems: 1,
           maxItems: 6,
           items: {
+            type: "object",
+            additionalProperties: false,
+            required: ["id", "title", "channel", "outputType"],
+            properties: {
+              id: { type: "string" },
+              title: { type: "string" },
+              channel: { type: "string" },
+              outputType: { type: "string" },
+            },
+          },
+        },
+      },
+    },
+  },
+};
+
+function buildExecuteSchema(stepIds: string[]): Record<string, unknown> {
+  const stepOutputProperties: Record<string, unknown> = {};
+  for (const stepId of stepIds) {
+    stepOutputProperties[stepId] = {
       type: "object",
       additionalProperties: false,
       required: ["title", "channel", "outputType", "body"],
@@ -71,10 +90,24 @@ const EXECUTE_SCHEMA: Record<string, unknown> = {
         outputType: { type: "string" },
         body: { type: "string" },
       },
-      },
+    };
+  }
+
+  return {
+    type: "object",
+    additionalProperties: false,
+    required: ["summary", "stepOutputs"],
+    properties: {
+      summary: { type: "string" },
+      stepOutputs: {
+        type: "object",
+        additionalProperties: false,
+        required: stepIds,
+        properties: stepOutputProperties,
       },
     },
   };
+}
 
 type InternalApiShape = {
   canvasGraph: {
@@ -111,7 +144,6 @@ type InternalApiShape = {
         nodeId: Id<"nodes">;
         modelId: string;
         userId: string;
-        analysisSummary: string;
         reservationId?: Id<"creditTransactions">;
         shouldDecrementConcurrency: boolean;
       },
@@ -161,13 +193,37 @@ type InternalApiShape = {
       { nodeId: Id<"nodes">; statusMessage?: string },
       unknown
     >;
-    finalizeAgentSuccessWithOutputs: FunctionReference<
+    createExecutionSkeletonOutputs: FunctionReference<
       "mutation",
       "internal",
       {
         canvasId: Id<"canvases">;
         nodeId: Id<"nodes">;
-        outputs: AgentOutputDraft[];
+        executionPlan: { summary: string; steps: AgentExecutionStep[] };
+      },
+      { outputNodeIds: Id<"nodes">[] }
+    >;
+    completeExecutionStepOutput: FunctionReference<
+      "mutation",
+      "internal",
+      {
+        nodeId: Id<"nodes">;
+        outputNodeId: Id<"nodes">;
+        stepId: string;
+        stepIndex: number;
+        stepTotal: number;
+        title: string;
+        channel: string;
+        outputType: string;
+        body: string;
+      },
+      unknown
+    >;
+    finalizeAgentSuccessWithOutputs: FunctionReference<
+      "mutation",
+      "internal",
+      {
+        nodeId: Id<"nodes">;
         summary: string;
       },
       { outputNodeIds: Id<"nodes">[] }
@@ -258,6 +314,57 @@ function normalizeClarificationQuestions(raw: unknown): AgentClarificationQuesti
   return questions;
 }
 
+type AgentExecutionStepRuntime = AgentExecutionStep & {
+  nodeId: Id<"nodes">;
+  stepIndex: number;
+  stepTotal: number;
+};
+
+function normalizeExecutionSteps(raw: unknown): AgentExecutionStepRuntime[] {
+  if (!Array.isArray(raw)) {
+    return [];
+  }
+
+  const steps: AgentExecutionStepRuntime[] = [];
+  for (const item of raw) {
+    if (!item || typeof item !== "object" || Array.isArray(item)) {
+      continue;
+    }
+    const itemRecord = item as Record<string, unknown>;
+    const nodeId = trimText(itemRecord.nodeId);
+    const stepId = trimText(itemRecord.stepId);
+    const title = trimText(itemRecord.title);
+    const channel = trimText(itemRecord.channel);
+    const outputType = trimText(itemRecord.outputType);
+    const rawStepIndex = itemRecord.stepIndex;
+    const rawStepTotal = itemRecord.stepTotal;
+    const stepIndex =
+      typeof rawStepIndex === "number" && Number.isFinite(rawStepIndex)
+        ? Math.max(0, Math.floor(rawStepIndex))
+        : -1;
+    const stepTotal =
+      typeof rawStepTotal === "number" && Number.isFinite(rawStepTotal)
+        ? Math.max(0, Math.floor(rawStepTotal))
+        : 0;
+
+    if (!nodeId || !stepId || !title || !channel || !outputType || stepIndex < 0 || stepTotal <= 0) {
+      continue;
+    }
+
+    steps.push({
+      id: stepId,
+      title,
+      channel,
+      outputType,
+      nodeId: nodeId as Id<"nodes">,
+      stepIndex,
+      stepTotal,
+    });
+  }
+
+  return steps.sort((a, b) => a.stepIndex - b.stepIndex);
+}
+
 function serializeNodeDataForPrompt(data: unknown): string {
   if (data === undefined) {
     return "{}";
@@ -395,6 +502,8 @@ export const setAgentAnalyzing = internalMutation({
         modelId: args.modelId,
         reservationId: args.reservationId,
         shouldDecrementConcurrency: args.shouldDecrementConcurrency,
+        executionPlanSummary: undefined,
+        executionSteps: [],
       },
     });
   },
@@ -455,6 +564,165 @@ export const setAgentExecuting = internalMutation({
   },
 });
 
+export const createExecutionSkeletonOutputs = internalMutation({
+  args: {
+    canvasId: v.id("canvases"),
+    nodeId: v.id("nodes"),
+    executionPlan: v.object({
+      summary: v.string(),
+      steps: v.array(
+        v.object({
+          id: v.string(),
+          title: v.string(),
+          channel: v.string(),
+          outputType: v.string(),
+        }),
+      ),
+    }),
+  },
+  handler: async (ctx, args) => {
+    const node = await ctx.db.get(args.nodeId);
+    if (!node) {
+      throw new Error("Node not found");
+    }
+    if (node.type !== "agent") {
+      throw new Error("Node must be an agent node");
+    }
+    if (node.canvasId !== args.canvasId) {
+      throw new Error("Agent node does not belong to canvas");
+    }
+
+    const prev = getNodeDataRecord(node.data);
+    const existingOutputNodeIds = Array.isArray(prev.outputNodeIds)
+      ? prev.outputNodeIds.filter((value): value is Id<"nodes"> => typeof value === "string")
+      : [];
+
+    const baseX = node.positionX + node.width + 120;
+    const baseY = node.positionY;
+    const stepTotal = args.executionPlan.steps.length;
+    const outputNodeIds: Id<"nodes">[] = [];
+    const runtimeSteps: Array<{
+      stepId: string;
+      nodeId: Id<"nodes">;
+      stepIndex: number;
+      stepTotal: number;
+      title: string;
+      channel: string;
+      outputType: string;
+    }> = [];
+
+    for (let index = 0; index < args.executionPlan.steps.length; index += 1) {
+      const step = args.executionPlan.steps[index];
+      const outputNodeId = await ctx.db.insert("nodes", {
+        canvasId: args.canvasId,
+        type: "agent-output",
+        positionX: baseX,
+        positionY: baseY + index * 220,
+        width: 360,
+        height: 260,
+        status: "executing",
+        retryCount: 0,
+        data: {
+          isSkeleton: true,
+          stepId: step.id,
+          stepIndex: index,
+          stepTotal,
+          title: step.title,
+          channel: step.channel,
+          outputType: step.outputType,
+          body: "",
+        },
+      });
+
+      outputNodeIds.push(outputNodeId);
+      runtimeSteps.push({
+        stepId: step.id,
+        nodeId: outputNodeId,
+        stepIndex: index,
+        stepTotal,
+        title: step.title,
+        channel: step.channel,
+        outputType: step.outputType,
+      });
+
+      await ctx.db.insert("edges", {
+        canvasId: args.canvasId,
+        sourceNodeId: args.nodeId,
+        targetNodeId: outputNodeId,
+        sourceHandle: undefined,
+        targetHandle: "agent-output-in",
+      });
+    }
+
+    await ctx.db.patch(args.nodeId, {
+      data: {
+        ...prev,
+        executionPlanSummary: trimText(args.executionPlan.summary),
+        executionSteps: runtimeSteps,
+        outputNodeIds: [...existingOutputNodeIds, ...outputNodeIds],
+      },
+    });
+
+    await ctx.db.patch(args.canvasId, {
+      updatedAt: Date.now(),
+    });
+
+    return {
+      outputNodeIds,
+    };
+  },
+});
+
+export const completeExecutionStepOutput = internalMutation({
+  args: {
+    nodeId: v.id("nodes"),
+    outputNodeId: v.id("nodes"),
+    stepId: v.string(),
+    stepIndex: v.number(),
+    stepTotal: v.number(),
+    title: v.string(),
+    channel: v.string(),
+    outputType: v.string(),
+    body: v.string(),
+  },
+  handler: async (ctx, args) => {
+    const node = await ctx.db.get(args.nodeId);
+    if (!node) {
+      throw new Error("Node not found");
+    }
+    if (node.type !== "agent") {
+      throw new Error("Node must be an agent node");
+    }
+
+    const outputNode = await ctx.db.get(args.outputNodeId);
+    if (!outputNode) {
+      throw new Error("Output node not found");
+    }
+    if (outputNode.type !== "agent-output") {
+      throw new Error("Node must be an agent-output node");
+    }
+    if (outputNode.canvasId !== node.canvasId) {
+      throw new Error("Output node does not belong to the same canvas");
+    }
+
+    await ctx.db.patch(args.outputNodeId, {
+      status: "done",
+      statusMessage: undefined,
+      retryCount: 0,
+      data: {
+        isSkeleton: false,
+        stepId: trimText(args.stepId),
+        stepIndex: Math.max(0, Math.floor(args.stepIndex)),
+        stepTotal: Math.max(1, Math.floor(args.stepTotal)),
+        title: trimText(args.title),
+        channel: trimText(args.channel),
+        outputType: trimText(args.outputType),
+        body: trimText(args.body),
+      },
+    });
+  },
+});
+
 export const setAgentError = internalMutation({
   args: {
     nodeId: v.id("nodes"),
@@ -517,16 +785,7 @@ export const upsertClarificationAnswers = internalMutation({
 
 export const finalizeAgentSuccessWithOutputs = internalMutation({
   args: {
-    canvasId: v.id("canvases"),
     nodeId: v.id("nodes"),
-    outputs: v.array(
-      v.object({
-        title: v.optional(v.string()),
-        channel: v.optional(v.string()),
-        outputType: v.optional(v.string()),
-        body: v.optional(v.string()),
-      }),
-    ),
     summary: v.string(),
   },
   handler: async (ctx, args) => {
@@ -537,48 +796,12 @@ export const finalizeAgentSuccessWithOutputs = internalMutation({
     if (node.type !== "agent") {
       throw new Error("Node must be an agent node");
     }
-    if (node.canvasId !== args.canvasId) {
-      throw new Error("Agent node does not belong to canvas");
-    }
 
     const prev = getNodeDataRecord(node.data);
     const existingOutputNodeIds = Array.isArray(prev.outputNodeIds)
       ? prev.outputNodeIds.filter((value): value is Id<"nodes"> => typeof value === "string")
       : [];
 
-    const baseX = node.positionX + node.width + 120;
-    const baseY = node.positionY;
-    const outputNodeIds: Id<"nodes">[] = [];
-
-    for (let index = 0; index < args.outputs.length; index += 1) {
-      const normalized = normalizeAgentOutputDraft(args.outputs[index] ?? {});
-      const outputNodeId = await ctx.db.insert("nodes", {
-        canvasId: args.canvasId,
-        type: "agent-output",
-        positionX: baseX,
-        positionY: baseY + index * 220,
-        width: 360,
-        height: 260,
-        status: "done",
-        retryCount: 0,
-        data: {
-          title: normalized.title,
-          channel: normalized.channel,
-          outputType: normalized.outputType,
-          body: normalized.body,
-        },
-      });
-      outputNodeIds.push(outputNodeId);
-
-      await ctx.db.insert("edges", {
-        canvasId: args.canvasId,
-        sourceNodeId: args.nodeId,
-        targetNodeId: outputNodeId,
-        sourceHandle: undefined,
-        targetHandle: "agent-output-in",
-      });
-    }
-
     await ctx.db.patch(args.nodeId, {
       status: "done",
       statusMessage: undefined,
@@ -586,19 +809,19 @@ export const finalizeAgentSuccessWithOutputs = internalMutation({
       data: {
         ...prev,
         clarificationQuestions: [],
-        outputNodeIds: [...existingOutputNodeIds, ...outputNodeIds],
+        outputNodeIds: existingOutputNodeIds,
         lastRunSummary: trimText(args.summary),
         reservationId: undefined,
         shouldDecrementConcurrency: undefined,
       },
     });
 
-    await ctx.db.patch(args.canvasId, {
+    await ctx.db.patch(node.canvasId, {
       updatedAt: Date.now(),
     });
 
     return {
-      outputNodeIds,
+      outputNodeIds: existingOutputNodeIds,
     };
   },
 });
@@ -632,6 +855,7 @@ export const analyzeAgent = internalAction({
       const analysis = await generateStructuredObjectViaOpenRouter<{
         analysisSummary: string;
         clarificationQuestions: AgentClarificationQuestion[];
+        executionPlan: unknown;
       }>(apiKey, {
         model: args.modelId,
         schemaName: "agent_analyze_result",
@@ -659,6 +883,10 @@ export const analyzeAgent = internalAction({
       const clarificationQuestions = normalizeClarificationQuestions(
         analysis.clarificationQuestions,
       );
+      const executionPlan = normalizeAgentExecutionPlan(analysis.executionPlan);
+      if (executionPlan.steps.length === 0) {
+        throw new Error("Agent analyze returned an empty execution plan");
+      }
       const hasRequiredGaps = !areClarificationAnswersComplete(
         clarificationQuestions,
         existingAnswers,
@@ -672,6 +900,12 @@ export const analyzeAgent = internalAction({
         return;
       }
 
+      await ctx.runMutation(internalApi.agents.createExecutionSkeletonOutputs, {
+        canvasId: args.canvasId,
+        nodeId: args.nodeId,
+        executionPlan,
+      });
+
       await ctx.runMutation(internalApi.agents.setAgentExecuting, {
         nodeId: args.nodeId,
       });
@@ -681,7 +915,6 @@ export const analyzeAgent = internalAction({
         nodeId: args.nodeId,
         modelId: args.modelId,
         userId: args.userId,
-        analysisSummary: trimText(analysis.analysisSummary),
         reservationId: args.reservationId,
         shouldDecrementConcurrency: args.shouldDecrementConcurrency,
       });
@@ -702,7 +935,6 @@ export const executeAgent = internalAction({
     nodeId: v.id("nodes"),
     modelId: v.string(),
     userId: v.string(),
-    analysisSummary: v.string(),
     reservationId: v.optional(v.id("creditTransactions")),
     shouldDecrementConcurrency: v.boolean(),
   },
@@ -723,27 +955,43 @@ export const executeAgent = internalAction({
       const template = getAgentTemplate(trimText(agentData.templateId) || "campaign-distributor");
       const clarificationAnswers = normalizeAnswerMap(agentData.clarificationAnswers);
       const incomingContext = collectIncomingContext(graph, args.nodeId);
+      const executionPlanSummary = trimText(agentData.executionPlanSummary);
+      const executionSteps = normalizeExecutionSteps(agentData.executionSteps);
+
+      if (executionSteps.length === 0) {
+        throw new Error("Agent execute is missing execution steps");
+      }
+
+      const executeSchema = buildExecuteSchema(executionSteps.map((step) => step.id));
 
       const execution = await generateStructuredObjectViaOpenRouter<{
         summary: string;
-        outputs: AgentOutputDraft[];
+        stepOutputs: Record<string, AgentOutputDraft>;
       }>(apiKey, {
         model: args.modelId,
         schemaName: "agent_execute_result",
-        schema: EXECUTE_SCHEMA,
+        schema: executeSchema,
         messages: [
           {
             role: "system",
             content:
-              "You are the LemonSpace Agent Executor. Produce concrete channel outputs from context and clarification answers. Output concise, actionable drafts.",
+              "You are the LemonSpace Agent Executor. Produce concrete channel outputs from context and clarification answers. Return one output per step, keyed by stepId.",
           },
           {
             role: "user",
             content: [
               `Template: ${template?.name ?? "Unknown template"}`,
               `Template description: ${template?.description ?? ""}`,
-              `Analyze summary: ${trimText(args.analysisSummary)}`,
+              `Analyze summary: ${executionPlanSummary}`,
               `Clarification answers: ${JSON.stringify(clarificationAnswers)}`,
+              `Execution steps: ${JSON.stringify(
+                executionSteps.map((step) => ({
+                  id: step.id,
+                  title: step.title,
+                  channel: step.channel,
+                  outputType: step.outputType,
+                })),
+              )}`,
               "Incoming node context:",
               incomingContext,
               "Return structured JSON matching the schema.",
@@ -752,15 +1000,45 @@ export const executeAgent = internalAction({
         ],
       });
 
-      const outputs = Array.isArray(execution.outputs) ? execution.outputs : [];
+      const stepOutputs =
-      if (outputs.length === 0) {
+        execution.stepOutputs && typeof execution.stepOutputs === "object"
-        throw new Error("Agent execution returned no outputs");
+          ? execution.stepOutputs
+          : {};
+
+      for (let index = 0; index < executionSteps.length; index += 1) {
+        const step = executionSteps[index];
+        await ctx.runMutation(internalApi.agents.setAgentExecuting, {
+          nodeId: args.nodeId,
+          statusMessage: `Generating ${step.title} ${step.stepIndex + 1}/${step.stepTotal}`,
+        });
+
+        const rawOutput = stepOutputs[step.id];
+        if (!rawOutput || typeof rawOutput !== "object") {
+          throw new Error(`Missing execution output for step ${step.id}`);
+        }
+
+        const normalized = normalizeAgentOutputDraft({
+          ...rawOutput,
+          title: trimText(rawOutput.title) || step.title,
+          channel: trimText(rawOutput.channel) || step.channel,
+          outputType: trimText(rawOutput.outputType) || step.outputType,
+        });
+
+        await ctx.runMutation(internalApi.agents.completeExecutionStepOutput, {
+          nodeId: args.nodeId,
+          outputNodeId: step.nodeId,
+          stepId: step.id,
+          stepIndex: step.stepIndex,
+          stepTotal: step.stepTotal,
+          title: normalized.title,
+          channel: normalized.channel,
+          outputType: normalized.outputType,
+          body: normalized.body,
+        });
       }
 
       await ctx.runMutation(internalApi.agents.finalizeAgentSuccessWithOutputs, {
-        canvasId: args.canvasId,
         nodeId: args.nodeId,
-        outputs,
         summary: execution.summary,
       });
 

lib/agent-run-contract.ts

@@ -13,9 +13,16 @@ export type AgentOutputDraft = {
   body?: string;
 };
 
+export type AgentExecutionStep = {
+  id: string;
+  title: string;
+  channel: string;
+  outputType: string;
+};
+
 export type AgentExecutionPlan = {
-  steps: string[];
+  summary: string;
-  outputs: AgentOutputDraft[];
+  steps: AgentExecutionStep[];
 };
 
 export type AgentAnalyzeResult = {
@@ -32,6 +39,53 @@ function trimString(value: unknown): string {
   return typeof value === "string" ? value.trim() : "";
 }
 
+function normalizeStepId(value: unknown): string {
+  return trimString(value)
+    .toLowerCase()
+    .replace(/[^a-z0-9\s-_]/g, "")
+    .replace(/\s+/g, "-");
+}
+
+export function normalizeAgentExecutionPlan(raw: unknown): AgentExecutionPlan {
+  const rawRecord =
+    raw && typeof raw === "object" && !Array.isArray(raw)
+      ? (raw as Record<string, unknown>)
+      : null;
+  const rawSteps = Array.isArray(rawRecord?.steps) ? rawRecord.steps : [];
+  const seenStepIds = new Set<string>();
+  const steps: AgentExecutionStep[] = [];
+
+  for (let index = 0; index < rawSteps.length; index += 1) {
+    const item = rawSteps[index];
+    if (!item || typeof item !== "object" || Array.isArray(item)) {
+      continue;
+    }
+
+    const itemRecord = item as Record<string, unknown>;
+    const fallbackId = `step-${index + 1}`;
+    const normalizedCandidateId = normalizeStepId(itemRecord.id) || fallbackId;
+    let stepId = normalizedCandidateId;
+    let suffix = 2;
+    while (seenStepIds.has(stepId)) {
+      stepId = `${normalizedCandidateId}-${suffix}`;
+      suffix += 1;
+    }
+    seenStepIds.add(stepId);
+
+    steps.push({
+      id: stepId,
+      title: trimString(itemRecord.title) || SAFE_FALLBACK_TITLE,
+      channel: trimString(itemRecord.channel) || SAFE_FALLBACK_CHANNEL,
+      outputType: trimString(itemRecord.outputType) || SAFE_FALLBACK_OUTPUT_TYPE,
+    });
+  }
+
+  return {
+    summary: trimString(rawRecord?.summary),
+    steps,
+  };
+}
+
 export function areClarificationAnswersComplete(
   questions: AgentClarificationQuestion[],
   answers: AgentClarificationAnswerMap,

tests/agent-node-runtime.test.ts

@@ -293,4 +293,51 @@ describe("AgentNode runtime", () => {
     expect(mocks.runAgent).not.toHaveBeenCalled();
     expect(mocks.resumeAgent).not.toHaveBeenCalled();
   });
+
+  it("disables run button and shows progress while executing", async () => {
+    container = document.createElement("div");
+    document.body.appendChild(container);
+    root = createRoot(container);
+
+    await act(async () => {
+      root?.render(
+        React.createElement(AgentNode, {
+          id: "agent-3",
+          selected: false,
+          dragging: false,
+          draggable: true,
+          selectable: true,
+          deletable: true,
+          zIndex: 1,
+          isConnectable: true,
+          type: "agent",
+          data: {
+            canvasId: "canvas-1",
+            templateId: "campaign-distributor",
+            modelId: "openai/gpt-5.4-mini",
+            _status: "executing",
+            _statusMessage: "Executing step 2/4",
+          } as Record<string, unknown>,
+          positionAbsoluteX: 0,
+          positionAbsoluteY: 0,
+        }),
+      );
+    });
+
+    const runButton = Array.from(container.querySelectorAll("button")).find((element) =>
+      element.textContent?.includes("Run agent"),
+    );
+    if (!(runButton instanceof HTMLButtonElement)) {
+      throw new Error("Run button not found");
+    }
+
+    expect(runButton.disabled).toBe(true);
+    expect(container.textContent).toContain("Executing step 2/4");
+
+    await act(async () => {
+      runButton.click();
+    });
+
+    expect(mocks.runAgent).not.toHaveBeenCalled();
+  });
 });

tests/agent-node.test.ts

@@ -45,7 +45,7 @@ describe("AgentNode", () => {
     root = null;
   });
 
-  it("renders campaign distributor metadata and input-only handle", async () => {
+  it("renders campaign distributor metadata and source/target handles", async () => {
     container = document.createElement("div");
     document.body.appendChild(container);
     root = createRoot(container);
@@ -76,7 +76,7 @@ describe("AgentNode", () => {
     expect(container.textContent).toContain("Instagram Feed");
     expect(container.textContent).toContain("Caption-Pakete");
     expect(handleCalls.filter((call) => call.type === "target")).toHaveLength(1);
-    expect(handleCalls.filter((call) => call.type === "source")).toHaveLength(0);
+    expect(handleCalls.filter((call) => call.type === "source")).toHaveLength(1);
   });
 
   it("falls back to the default template when templateId is missing", async () => {

tests/agent-output-node.test.ts

@@ -112,4 +112,41 @@ describe("AgentOutputNode", () => {
 
     expect(handleCalls).toEqual([{ type: "target", id: "agent-output-in" }]);
   });
+
+  it("renders skeleton mode with counter and placeholder", async () => {
+    container = document.createElement("div");
+    document.body.appendChild(container);
+    root = createRoot(container);
+
+    await act(async () => {
+      root?.render(
+        React.createElement(AgentOutputNode, {
+          id: "agent-output-3",
+          selected: false,
+          dragging: false,
+          draggable: true,
+          selectable: true,
+          deletable: true,
+          zIndex: 1,
+          isConnectable: true,
+          type: "agent-output",
+          data: {
+            title: "Planned headline",
+            channel: "linkedin",
+            outputType: "post",
+            isSkeleton: true,
+            stepIndex: 1,
+            stepTotal: 4,
+          } as Record<string, unknown>,
+          positionAbsoluteX: 0,
+          positionAbsoluteY: 0,
+        }),
+      );
+    });
+
+    expect(container.textContent).toContain("Skeleton");
+    expect(container.textContent).toContain("2/4");
+    expect(container.querySelector('[data-testid="agent-output-skeleton-body"]')).not.toBeNull();
+    expect(handleCalls).toEqual([{ type: "target", id: "agent-output-in" }]);
+  });
 });

tests/lib/agent-run-contract.test.ts

@@ -2,9 +2,11 @@ import { describe, expect, it } from "vitest";
 
 import {
   areClarificationAnswersComplete,
+  normalizeAgentExecutionPlan,
   normalizeAgentOutputDraft,
   type AgentClarificationAnswerMap,
   type AgentClarificationQuestion,
+  type AgentExecutionPlan,
 } from "@/lib/agent-run-contract";
 
 describe("agent run contract helpers", () => {
@@ -93,4 +95,87 @@ describe("agent run contract helpers", () => {
       expect(normalized.body).toBe("");
     });
   });
+
+  describe("normalizeAgentExecutionPlan", () => {
+    it("trims summary and step metadata while preserving valid values", () => {
+      const normalized = normalizeAgentExecutionPlan({
+        summary: "  Ship a launch kit  ",
+        steps: [
+          {
+            id: "  STEP-1  ",
+            title: "  Instagram captions  ",
+            channel: "  Instagram  ",
+            outputType: "  caption-pack  ",
+          },
+        ],
+      });
+
+      expect(normalized).toEqual<AgentExecutionPlan>({
+        summary: "Ship a launch kit",
+        steps: [
+          {
+            id: "step-1",
+            title: "Instagram captions",
+            channel: "Instagram",
+            outputType: "caption-pack",
+          },
+        ],
+      });
+    });
+
+    it("falls back to safe defaults for invalid payloads", () => {
+      const normalized = normalizeAgentExecutionPlan({
+        summary: null,
+        steps: [
+          {
+            id: "",
+            title: "",
+            channel: "   ",
+            outputType: undefined,
+          },
+          null,
+        ],
+      });
+
+      expect(normalized).toEqual<AgentExecutionPlan>({
+        summary: "",
+        steps: [
+          {
+            id: "step-1",
+            title: "Untitled",
+            channel: "general",
+            outputType: "text",
+          },
+        ],
+      });
+    });
+
+    it("deduplicates step ids and creates deterministic fallback ids", () => {
+      const normalized = normalizeAgentExecutionPlan({
+        summary: "ready",
+        steps: [
+          {
+            id: "step",
+            title: "One",
+            channel: "email",
+            outputType: "copy",
+          },
+          {
+            id: "step",
+            title: "Two",
+            channel: "x",
+            outputType: "thread",
+          },
+          {
+            id: "",
+            title: "Three",
+            channel: "linkedin",
+            outputType: "post",
+          },
+        ],
+      });
+
+      expect(normalized.steps.map((step) => step.id)).toEqual(["step", "step-2", "step-3"]);
+    });
+  });
 });