--- title: Agents as tools description: Run Think and AIChatAgent sub-agents as retained, streaming tools from a parent agent. image: https://developers.cloudflare.com/dev-products-preview.png --- > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/agents/llms.txt > Use this file to discover all available pages before exploring further. [Skip to content](#%5Ftop) # Agents as tools Agents as tools let one chat agent dispatch another chat-capable sub-agent as part of its work. The child is a real sub-agent with its own Durable Object storage, messages, tools, resumable stream, and drill-in URL. The parent keeps a small run registry so clients can render the child timeline, replay it after refresh, and clean it up later. Agents as tools support `@cloudflare/think` agents and `AIChatAgent` subclasses. `AIChatAgent` children run headlessly through `saveMessages()`, so they should use server-side tools. Browser-provided client tools are not available during an agent-tool turn unless you model that interaction as server-side state or a separate parent-mediated workflow. ## Agents as tools vs sub-agent RPC Use `subAgent(...).chat()` when parent code needs direct streaming RPC to a specific child and your code owns forwarding, cancellation, and replay policy. Use `agentTool()` or `runAgentTool()` when a parent model or workflow delegates work to a child agent and you want retained child runs, event replay, abort bridging, and UI drill-in. For Think-specific turn choices, refer to [Choose a turn API](https://developers.cloudflare.com/agents/harnesses/think/#choose-a-turn-api). ## Use an agent as an AI SDK tool Use `agentTool()` when the parent model should decide when to call the helper. * [ JavaScript ](#tab-panel-6251) * [ TypeScript ](#tab-panel-6252) JavaScript ``` import { Think } from "@cloudflare/think";import { agentTool } from "agents/agent-tools";import { z } from "zod"; export class Researcher extends Think { getSystemPrompt() { return "Research the user's topic and end with a concise summary."; }} export class Assistant extends Think { getTools() { return { research: agentTool(Researcher, { description: "Research one topic in depth.", displayName: "Researcher", inputSchema: z.object({ query: z.string().min(3), }), }), }; }} ``` TypeScript ``` import { Think } from "@cloudflare/think";import { agentTool } from "agents/agent-tools";import { z } from "zod"; export class Researcher extends Think { getSystemPrompt() { return "Research the user's topic and end with a concise summary."; }} export class Assistant extends Think { getTools() { return { research: agentTool(Researcher, { description: "Research one topic in depth.", displayName: "Researcher", inputSchema: z.object({ query: z.string().min(3), }), }), }; }} ``` The child can also be an `AIChatAgent`: * [ JavaScript ](#tab-panel-6271) * [ TypeScript ](#tab-panel-6272) JavaScript ``` import { AIChatAgent } from "@cloudflare/ai-chat";import { agentTool } from "agents/agent-tools";import { convertToModelMessages, stepCountIs, streamText } from "ai";import { z } from "zod"; export class Summarizer extends AIChatAgent { formatAgentToolInput(input, request) { return { id: `agent-tool-${request.runId}-input`, role: "user", parts: [{ type: "text", text: `Summarize:\n\n${input.text}` }], }; } async onChatMessage() { const result = streamText({ model: this.env.MODEL, messages: await convertToModelMessages(this.messages), }); return result.toUIMessageStreamResponse(); }} export class Assistant extends AIChatAgent { async onChatMessage() { const result = streamText({ model: this.env.MODEL, messages: await convertToModelMessages(this.messages), tools: { summarize: agentTool(Summarizer, { description: "Summarize long text in a separate retained agent.", inputSchema: z.object({ text: z.string() }), }), }, stopWhen: stepCountIs(5), }); return result.toUIMessageStreamResponse(); }} ``` TypeScript ``` import { AIChatAgent } from "@cloudflare/ai-chat";import { agentTool } from "agents/agent-tools";import { convertToModelMessages, stepCountIs, streamText } from "ai";import { z } from "zod"; export class Summarizer extends AIChatAgent { protected override formatAgentToolInput(input: { text: string }, request) { return { id: `agent-tool-${request.runId}-input`, role: "user", parts: [{ type: "text", text: `Summarize:\n\n${input.text}` }], }; } async onChatMessage() { const result = streamText({ model: this.env.MODEL, messages: await convertToModelMessages(this.messages), }); return result.toUIMessageStreamResponse(); }} export class Assistant extends AIChatAgent { async onChatMessage() { const result = streamText({ model: this.env.MODEL, messages: await convertToModelMessages(this.messages), tools: { summarize: agentTool(Summarizer, { description: "Summarize long text in a separate retained agent.", inputSchema: z.object({ text: z.string() }), }), }, stopWhen: stepCountIs(5), }); return result.toUIMessageStreamResponse(); }} ``` The generated tool calls `this.runAgentTool(ChildAgent, ...)`, streams `agent-tool-event` frames on the parent WebSocket, and returns the child summary to the parent model. If the run fails, aborts, or is interrupted, the tool returns a structured `AgentToolFailure` instead of an empty success value: TypeScript ``` type AgentToolFailure = { ok: false; status: "error" | "aborted" | "interrupted"; error: string; // human-readable, safe to surface retryable: boolean; // Present only when `status` is "interrupted": reason?: AgentToolInterruptedReason; childStillRunning?: boolean;}; type AgentToolInterruptedReason = | "no-progress" | "window-exceeded" | "not-tailable" | "inspect-timeout" | "inspect-failed" | "recovery-deadline" | "budget-exceeded"; ``` `retryable` is `true` only for an `interrupted` run — the child was reset or superseded by a deploy or parent recovery and never reached a logical outcome, so re-dispatching the same call can succeed. A genuine `error` or an intentional `aborted` is `retryable: false`. This lets a parent prompt convention or an orchestration harness re-run a transient interruption rather than reporting it to the user as a final failure. `AgentToolFailure` is exported from `agents`. On an `interrupted` run, `reason` gives a machine-readable cause and `childStillRunning` reports whether the child was still working when the parent stopped waiting (`true`) or has since been torn down (`false`). Branch on these instead of parsing the `error` prose — for example, re-dispatch a `no-progress` interrupt (the child may still self-heal) but reconnect to or surface a `window-exceeded` one (the child was torn down). Both `reason` and `childStillRunning` are also mirrored onto the `agent-tool-event` wire frame and the `useAgentToolEvents()` run state. For Think children that do workflow-style work without user-facing assistant text, override `getAgentToolOutput()` and, if needed, `getAgentToolSummary()`. Assistant text remains the default summary when present, but a Think agent-tool run can complete successfully without emitting text chunks. Persist any structured output before the child turn finishes, because `getAgentToolOutput()` is read as soon as `saveMessages()` resolves. Keep `getAgentToolSummary()` concise for display; the full structured value is stored separately as the tool output. * [ JavaScript ](#tab-panel-6245) * [ TypeScript ](#tab-panel-6246) JavaScript ``` export class Extractor extends Think { getAgentToolOutput(runId) { const rows = this.sql` SELECT result_json FROM extraction_runs WHERE id = ${runId} `; return rows[0] ? JSON.parse(rows[0].result_json) : undefined; } getAgentToolSummary(_runId, output) { return output ? "Extraction complete" : ""; }} ``` TypeScript ``` export class Extractor extends Think { protected override getAgentToolOutput(runId: string) { const rows = this.sql<{ result_json: string }>` SELECT result_json FROM extraction_runs WHERE id = ${runId} `; return rows[0] ? JSON.parse(rows[0].result_json) : undefined; } protected override getAgentToolSummary(_runId: string, output: unknown) { return output ? "Extraction complete" : ""; }} ``` ## Run an agent tool imperatively Use `runAgentTool()` for deterministic workflows, scheduled work, HTTP handlers, or fan-out code. * [ JavaScript ](#tab-panel-6247) * [ TypeScript ](#tab-panel-6248) JavaScript ``` const [a, b] = await Promise.allSettled([ this.runAgentTool(Researcher, { input: { query: "HTTP/3" }, parentToolCallId: toolCallId, displayOrder: 0, }), this.runAgentTool(Researcher, { input: { query: "gRPC" }, parentToolCallId: toolCallId, displayOrder: 1, }),]); ``` TypeScript ``` const [a, b] = await Promise.allSettled([ this.runAgentTool(Researcher, { input: { query: "HTTP/3" }, parentToolCallId: toolCallId, displayOrder: 0, }), this.runAgentTool(Researcher, { input: { query: "gRPC" }, parentToolCallId: toolCallId, displayOrder: 1, }),]); ``` `runAgentTool()` is idempotent by `runId`. Passing the same `runId` never starts a duplicate child turn. Completed, failed, aborted, and interrupted runs are retained until you explicitly clear them. ## Detached (background) runs By default `runAgentTool()` **awaits** the child to terminal before returning. For long-running work — large imports, video renders, deep research — that you do not want to block the dispatching turn on, pass `detached`. The run is dispatched, the current turn continues, and `runAgentTool()` returns a handle immediately: TypeScript ``` type DetachedRunAgentToolResult = { runId: string; agentType: string; status: "running" | "error"; // "error" only if dispatch itself was rejected}; ``` `detached: true` is fire-and-forget — observe the run through `agent-tool-event` frames (the same ones `useAgentToolEvents()` consumes) and the global `onAgentToolFinish()` hook. Pass an object to wire a targeted, durable completion callback: * [ JavaScript ](#tab-panel-6265) * [ TypeScript ](#tab-panel-6266) JavaScript ``` export class Importer extends Think { async startImport(input) { const { runId } = await this.runAgentTool(ImportAgent, { input, detached: { onFinish: "onImportDone", maxBudgetMs: 60 * 60 * 1000 }, }); return runId; } // Fires once, even if the Durable Object was evicted and rehydrated while the // child ran. Referenced by METHOD NAME (like schedule()) — never a closure, // which cannot survive eviction. async onImportDone(run, result) { switch (result.status) { case "completed": await this.markImportReady(run.runId, result.summary); break; case "error": await this.markImportFailed(run.runId, result.error); break; case "interrupted": // reason "budget-exceeded" ⇒ the run hit its maxBudgetMs ceiling. // interrupted is soft: a child that finishes anyway re-fires this // hook with "completed", so make the handler idempotent. break; } }} ``` TypeScript ``` export class Importer extends Think { async startImport(input: ImportInput) { const { runId } = await this.runAgentTool(ImportAgent, { input, detached: { onFinish: "onImportDone", maxBudgetMs: 60 * 60 * 1000 }, }); return runId; } // Fires once, even if the Durable Object was evicted and rehydrated while the // child ran. Referenced by METHOD NAME (like schedule()) — never a closure, // which cannot survive eviction. async onImportDone(run: AgentToolRunInfo, result: AgentToolLifecycleResult) { switch (result.status) { case "completed": await this.markImportReady(run.runId, result.summary); break; case "error": await this.markImportFailed(run.runId, result.error); break; case "interrupted": // reason "budget-exceeded" ⇒ the run hit its maxBudgetMs ceiling. // interrupted is soft: a child that finishes anyway re-fires this // hook with "completed", so make the handler idempotent. break; } }} ``` Key behaviors: * **Durable completion.** Delivery survives eviction and deploys: a warm fast path delivers with low latency while the isolate is alive, and a self-scheduling reconcile backbone finalizes anything the fast path missed. Delivery is exactly-once on the happy path; under a crash it is at-least-once, so `onFinish` handlers must be idempotent. * **Give-up vs. finish are independent.** A budget give-up is delivered as `status: "interrupted"`, `reason: "budget-exceeded"`. Because `interrupted` is soft, a child that completes after the give-up still re-fires `onFinish` with the real result — a premature give-up never hides a late completion. * **Bounded.** Every detached run has an absolute `maxBudgetMs` ceiling (per-run, or the `detachedMaxBudgetMs` static option; default 24h). On expiry the parent gives up watching and tears the child down so an abandoned run cannot hold a `maxConcurrentAgentTools` slot forever. * **No inherited signal.** A detached run must outlive the spawning turn, so it does **not** inherit `options.signal`. Cancel it explicitly: * [ JavaScript ](#tab-panel-6241) * [ TypeScript ](#tab-panel-6242) JavaScript ``` await this.cancelAgentTool(runId); // idempotent; delivers onFinish "aborted" ``` TypeScript ``` await this.cancelAgentTool(runId); // idempotent; delivers onFinish "aborted" ``` ### Notify the chat on completion (Think / AIChatAgent) On a chat agent (`@cloudflare/think` or `AIChatAgent`) you usually want the model to _react_ to a finished background run. Instead of wiring `onFinish` by hand, pass `notify: true` — when the run finishes the agent injects a message into the chat (idempotent per run + status, so an exactly-once finish never duplicates) and the model takes its next turn with the result in context: * [ JavaScript ](#tab-panel-6243) * [ TypeScript ](#tab-panel-6244) JavaScript ``` await this.runAgentTool(ResearchAgent, { input, detached: { notify: true } }); ``` TypeScript ``` await this.runAgentTool(ResearchAgent, { input, detached: { notify: true } }); ``` If your app routes or hides synthetic messages by `metadata.source`, pass your own source: * [ JavaScript ](#tab-panel-6249) * [ TypeScript ](#tab-panel-6250) JavaScript ``` await this.runAgentTool(ResearchAgent, { input, detached: { notify: { source: "research-background" } },}); ``` TypeScript ``` await this.runAgentTool(ResearchAgent, { input, detached: { notify: { source: "research-background" } },}); ``` Override `formatDetachedCompletion(run, result)` to customize the injected text, or return an empty string to suppress the notification for a given outcome. An explicit `onFinish` takes precedence over `notify`. ### The `inspectAgentToolRun` contract A child's `inspectAgentToolRun(runId)` returns the run's current status snapshot, or `null`. **`null` does not mean "failed"** — it means the child has no record of that run _yet_. This is normal immediately after dispatch (the child may still be persisting its first row) and is also what a freshly-rehydrated child returns before it has lazily reconciled a stale `running` row. Callers — and the framework's own reconcile backbone — treat `null` as "not terminal, keep watching within budget", never as a terminal failure. Only a non-`null` inspection with a terminal `status` (`completed` / `error` / `aborted`) finalizes a run. ## Report progress and milestones A sub-agent running as an agent tool — awaited or detached — can report mid-run progress so a parent can render a live status line, meter the run server-side, or react to a named checkpoint before the run finishes. Call `reportProgress()` from inside the child (for example, from a tool's `execute`): * [ JavaScript ](#tab-panel-6261) * [ TypeScript ](#tab-panel-6262) JavaScript ``` export class ImportAgent extends Think { getTools() { return { ingest: tool({ inputSchema: z.object({ url: z.string() }), execute: async ({ url }) => { // Ephemeral progress: drives a generic bar / phase / status line. await this.reportProgress({ fraction: 0.6, phase: "ingesting", message: "Ingested 40k/80k rows", }); // ... }, }), }; }} ``` TypeScript ``` export class ImportAgent extends Think { getTools() { return { ingest: tool({ inputSchema: z.object({ url: z.string() }), execute: async ({ url }) => { // Ephemeral progress: drives a generic bar / phase / status line. await this.reportProgress({ fraction: 0.6, phase: "ingesting", message: "Ingested 40k/80k rows", }); // ... }, }), }; }} ``` `reportProgress()` is available on chat agents (`@cloudflare/think` and `AIChatAgent`). It is a no-op with a development warning on the base `Agent` class and when called outside an active agent-tool run, so the same child code is safe to run standalone. The framework resolves the active run from the current turn — you never thread a run ID. TypeScript ``` reportProgress( progress: { fraction?: number; // 0..1 — drives a progress bar message?: string; // human-readable status line phase?: string; // coarse phase label, e.g. "ingesting" milestone?: string; // present ⇒ a durable milestone (see below) data?: T; // app-specific payload; live-only unless persisted }, options?: { persist?: boolean },): Promise; ``` Ephemeral signals ride the child's own turn stream as a transient `data-agent-progress` part, so they re-broadcast to the parent's connected clients and surface on `AgentToolRunState.progress` through `useAgentToolEvents()` — a background-runs tray can render a live bar, phase, and status line without drilling in. Bursts are coalesced (latest-wins; a `fraction >= 1` frame always flushes). The `data` field is live-only unless you pass `{ persist: true }`. ### Observe progress on the parent Override `onProgress()` to meter, steer, or surface progress server-side. It fires best-effort whenever a child progress signal is forwarded through the parent, for both awaited and detached runs: * [ JavaScript ](#tab-panel-6255) * [ TypeScript ](#tab-panel-6256) JavaScript ``` export class Assistant extends Think { async onProgress(run, progress) { if (progress.milestone) { // A durable milestone landed — branch on it. } console.log(run.runId, progress.phase, progress.fraction); }} ``` TypeScript ``` export class Assistant extends Think { override async onProgress( run: AgentToolRunInfo, progress: AgentToolProgressSnapshot, ) { if (progress.milestone) { // A durable milestone landed — branch on it. } console.log(run.runId, progress.phase, progress.fraction); }} ``` `onProgress()` is not durable: after eviction a detached run's latest snapshot is reconstructed from `inspectAgentToolRun().progress` on reconcile rather than re-firing the hook. The latest snapshot is also persisted on the child run row, so a rehydrated parent can answer "where is this run" without having tailed the live stream. ### Durable milestones Naming a `milestone` promotes a signal from the ephemeral tier to a **durable** one — there is still only one emit method: * [ JavaScript ](#tab-panel-6253) * [ TypeScript ](#tab-panel-6254) JavaScript ``` await this.reportProgress({ milestone: "sources-gathered", data: { sources: 2 },}); ``` TypeScript ``` await this.reportProgress({ milestone: "sources-gathered", data: { sources: 2 },}); ``` A milestone is persisted as one row on the child with a monotonic per-run `sequence`, and rides the stream as a **persisted** `data-agent-milestone` part (unlike transient progress). It therefore survives eviction, replays on drill-in, and is surfaced — deduped by `sequence` — on `AgentToolRunState.milestones` and `inspectAgentToolRun().milestones`. `onProgress()` fires for milestones too, with `progress.milestone` set, so a consumer can branch on milestone versus ephemeral progress. ### Notify the chat on a milestone (Think / AIChatAgent) For a detached run on a chat agent, `detached: { onMilestones }` surfaces a chat message when a configured milestone lands, _before_ the run finishes. Each `(runId, name)` fires at most once — whether observed live or reconciled after eviction — so the deterministic ID collapses warm and cold delivery to at-most-once: * [ JavaScript ](#tab-panel-6263) * [ TypeScript ](#tab-panel-6264) JavaScript ``` // "narrate" (default): inject a synthetic assistant status line — no model turn.await this.runAgentTool(Researcher, { input, detached: { onMilestones: ["sources-gathered"] },}); // "react": post a user-role turn so the model responds (steer, start dependent// work). Costs a model turn.await this.runAgentTool(Researcher, { input, detached: { onMilestones: { names: ["needs-approval"], mode: "react" } },}); ``` TypeScript ``` // "narrate" (default): inject a synthetic assistant status line — no model turn.await this.runAgentTool(Researcher, { input, detached: { onMilestones: ["sources-gathered"] },}); // "react": post a user-role turn so the model responds (steer, start dependent// work). Costs a model turn.await this.runAgentTool(Researcher, { input, detached: { onMilestones: { names: ["needs-approval"], mode: "react" } },}); ``` Override `formatDetachedMilestone(run, milestone)` to customize the wording, or return an empty string to suppress a given milestone. Synthetic narrate messages carry `metadata.source`, so clients can render them as an agent event rather than a human turn. ### Resetting no-progress budget for detached runs Once a detached child has reported at least one signal, the reconcile backbone gives up if the run then goes silent for `detachedNoProgressBudgetMs` (default 1 hour; per-run override via `detached: { noProgressBudgetMs }`). This surfaces as `status: "interrupted"`, `reason: "no-progress"`. A child that never reports is bounded only by the absolute `detachedMaxBudgetMs` ceiling — a run is never given up on merely for being slow. Set `noProgressBudgetMs` to `0` or `Infinity` to disable the resetting window for a run. ## Render child timelines in React `useAgentToolEvents()` is a headless hook. It subscribes to the existing parent connection, deduplicates replay/live races, applies child `UIMessageChunk` bodies to message parts, and groups sibling runs by parent tool call ID. Each run state carries `progress` and `milestones`, so a background-runs tray can render a live bar, phase, and milestone chips without drilling in. * [ JavaScript ](#tab-panel-6269) * [ TypeScript ](#tab-panel-6270) JavaScript ``` import { useAgent, useAgentToolEvents } from "agents/react";import { useAgentChat } from "@cloudflare/ai-chat/react"; const agent = useAgent({ agent: "Assistant", name: userId });const { messages } = useAgentChat({ agent });const agentTools = useAgentToolEvents({ agent }); for (const message of messages) { for (const part of message.parts) { if (part.type === "tool-call") { const runs = agentTools.getRunsForToolCall(part.toolCallId); // Render the child runs beside this tool call. } }} ``` TypeScript ``` import { useAgent, useAgentToolEvents } from "agents/react";import { useAgentChat } from "@cloudflare/ai-chat/react"; const agent = useAgent({ agent: "Assistant", name: userId });const { messages } = useAgentChat({ agent });const agentTools = useAgentToolEvents({ agent }); for (const message of messages) { for (const part of message.parts) { if (part.type === "tool-call") { const runs = agentTools.getRunsForToolCall(part.toolCallId); // Render the child runs beside this tool call. } }} ``` Imperative runs without a parent tool call are available as `agentTools.unboundRuns`. ## Drill in and gate access Agents as tools are normal sub-agents. Connect to a retained child through the parent route: * [ JavaScript ](#tab-panel-6257) * [ TypeScript ](#tab-panel-6258) JavaScript ``` useAgent({ agent: "Assistant", name: userId, sub: [{ agent: "Researcher", name: runId }],}); ``` TypeScript ``` useAgent({ agent: "Assistant", name: userId, sub: [{ agent: "Researcher", name: runId }],}); ``` Gate external access with the parent registry so guessed run IDs cannot spawn fresh child facets: TypeScript ``` override async onBeforeSubAgent(_request, child) { if (!this.hasAgentToolRun(child.className, child.name)) { return new Response("Not found", { status: 404 }); }} ``` ## Clear retained runs Runs and child facets are retained by default for refresh, drill-in, and later inspection. Delete them explicitly when clearing chat history or applying your own retention policy: * [ JavaScript ](#tab-panel-6259) * [ TypeScript ](#tab-panel-6260) JavaScript ``` await this.clearAgentToolRuns();await this.clearAgentToolRuns({ status: ["completed", "error", "aborted", "interrupted"],});await this.clearAgentToolRuns({ olderThan: Date.now() - 7 * 24 * 60 * 60_000 }); ``` TypeScript ``` await this.clearAgentToolRuns();await this.clearAgentToolRuns({ status: ["completed", "error", "aborted", "interrupted"],});await this.clearAgentToolRuns({ olderThan: Date.now() - 7 * 24 * 60 * 60_000 }); ``` If a retained run is still `starting` or `running`, cleanup cancels the child before deleting its facet. ## Interrupted runs and recovery Agent-tool runs are retained in the parent. If the parent restarts (deploy or eviction) while a child run is still `starting` or `running`, it does not abandon the child. Startup recovery re-attaches to the live child and tails its stream to the child's terminal result. Because the child is a sub-agent with its own `chatRecovery`, it self-heals its own interrupted turn while the parent forwards its output. A completed child is finalized without re-running finished work. The re-attach wait is **progress-keyed**, not a fixed wall clock. Two static `options` tune it: | Option | Default | Behavior | | ------------------------------------ | -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | agentToolReattachNoProgressTimeoutMs | 120000 (2 min) | How long the parent waits with **no** forward progress before giving up. Resets on every forwarded chunk, so a streaming child is followed through to terminal. | | agentToolReattachMaxWindowMs | Infinity | Optional hard wall-clock ceiling on a single re-attach. Uncapped by default (mirrors chat recovery's maxRecoveryWork), so a healthy, long-running child is never cut off. Set a finite value to impose a cap. | Give-up outcomes map to the `AgentToolFailure` fields: * A child that goes silent for a full no-progress window is sealed `reason: "no-progress"`, `childStillRunning: true`. This seal is soft: the child is left running, so re-dispatching the same `runId` can re-attach and collect it if it self-heals. * If you set a finite `agentToolReattachMaxWindowMs` and it fires, the run is sealed `reason: "window-exceeded"`, `childStillRunning: false`, and the child is torn down (it has had its full window and is treated as exhausted). * A child that cannot be tailed or inspected, or that exceeds the overall recovery deadline, is sealed with the matching `reason` so the parent tool call returns a structured failure instead of hanging indefinitely. A hung child can never block recovery forever. The no-progress budget bounds a silent child. A content runaway is bounded by the child's own `chatRecovery` (`maxRecoveryWork` and `shouldKeepRecovering`), not by a parent-only timer. Monitor parent reconciliation through the `agentTool` observability channel: * [ JavaScript ](#tab-panel-6267) * [ TypeScript ](#tab-panel-6268) JavaScript ``` import { subscribe } from "agents/observability"; const unsubscribe = subscribe("agentTool", (event) => { if (event.type === "agent_tool:recovery:row") { console.log("Recovered agent-tool row", event.payload); }}); ``` TypeScript ``` import { subscribe } from "agents/observability"; const unsubscribe = subscribe("agentTool", (event) => { if (event.type === "agent_tool:recovery:row") { console.log("Recovered agent-tool row", event.payload); }}); ``` Raw `diagnostics_channel` subscribers should use the channel name `agents:agent_tool`. ## Example [ Agents as tools example ](https://github.com/cloudflare/agents/tree/main/examples/agents-as-tools) Run chat-capable sub-agents as retained tools, stream their timelines inline, and drill into child agents. ## Related [ Sub-agents ](https://developers.cloudflare.com/agents/runtime/execution/sub-agents/) Spawn child agents with isolated storage, typed RPC, and nested client routing. 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