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The latest release of the Agents SDK ↗︎ rewrites observability from scratch with
The previous observability system used
Every event has a
Use the typed
In production, all diagnostics channel messages are automatically forwarded to Tail Workers — no subscription code needed in the agent itself:
The custom
For the full event reference, refer to the Diagnostics channels documentation.
https://developers.cloudflare.com/changelog/rss/#keepalive-and-keepalivewhile
Durable Objects are evicted after a period of inactivity (typically 70-140 seconds with no incoming requests, WebSocket messages, or alarms). During long-running operations — streaming LLM responses, waiting on external APIs, running multi-step computations — the agent can be evicted mid-flight.
Key details:
Note
For the full API reference and when-to-use guidance, refer to Schedule tasks — Keeping the agent alive.
https://developers.cloudflare.com/changelog/rss/#waitformcpconnections
For lower-level control, call
To update to the latest version:
Continue reading...
diagnostics_channel, adds keepAlive() to prevent Durable Object eviction during long-running work, and introduces waitForMcpConnections so MCP tools are always available when onChatMessage runs.Observability rewrite
https://developers.cloudflare.com/changelog/rss/#observability-rewriteThe previous observability system used
console.log() with a custom Observability.emit() interface. v0.7.0 replaces it with structured events published to diagnostics channels — silent by default, zero overhead when nobody is listening.Every event has a
type, payload, and timestamp. Events are routed to seven named channels:| Channel | Event types |
|---|---|
agents:state | state:update |
agents:rpc | rpc, rpc:error |
agents:message | message:request, message:response, message:clear, message:cancel, message:error, tool:result, tool:approval |
agents:schedule | schedule:create, schedule:execute, schedule:cancel, schedule:retry, schedule:error, queue:retry, queue:error |
agents:lifecycle | connect, destroy |
agents:workflow | workflow:start, workflow:event, workflow:approved, workflow:rejected, workflow:terminated, workflow:paused, workflow:resumed, workflow:restarted |
agents:mcp | mcp:client:preconnect, mcp:client:connect, mcp:client:authorize, mcp:client:discover |
Use the typed
subscribe() helper from agents/observability for type-safe access:
Code:
import { subscribe } from "agents/observability";
const unsub = subscribe("rpc", (event) => {
if (event.type === "rpc") {
console.log(`RPC call: ${event.payload.method}`);
}
if (event.type === "rpc:error") {
console.error(
`RPC failed: ${event.payload.method} — ${event.payload.error}`,
);
}
});
// Clean up when done
unsub();
Code:
import { subscribe } from "agents/observability";
const unsub = subscribe("rpc", (event) => {
if (event.type === "rpc") {
console.log(`RPC call: ${event.payload.method}`);
}
if (event.type === "rpc:error") {
console.error(
`RPC failed: ${event.payload.method} — ${event.payload.error}`,
);
}
});
// Clean up when done
unsub();
In production, all diagnostics channel messages are automatically forwarded to Tail Workers — no subscription code needed in the agent itself:
Code:
export default {
async tail(events) {
for (const event of events) {
for (const msg of event.diagnosticsChannelEvents) {
// msg.channel is "agents:rpc", "agents:workflow", etc.
console.log(msg.timestamp, msg.channel, msg.message);
}
}
},
};
Code:
export default {
async tail(events) {
for (const event of events) {
for (const msg of event.diagnosticsChannelEvents) {
// msg.channel is "agents:rpc", "agents:workflow", etc.
console.log(msg.timestamp, msg.channel, msg.message);
}
}
},
};
The custom
Observability override interface is still supported for users who need to filter or forward events to external services.For the full event reference, refer to the Diagnostics channels documentation.
keepAlive() and keepAliveWhile()
https://developers.cloudflare.com/changelog/rss/#keepalive-and-keepalivewhileDurable Objects are evicted after a period of inactivity (typically 70-140 seconds with no incoming requests, WebSocket messages, or alarms). During long-running operations — streaming LLM responses, waiting on external APIs, running multi-step computations — the agent can be evicted mid-flight.
keepAlive() prevents this by creating a 30-second heartbeat schedule. The alarm firing resets the inactivity timer. Returns a disposer function that cancels the heartbeat when called.
Code:
const dispose = await this.keepAlive();
try {
const result = await longRunningComputation();
await sendResults(result);
} finally {
dispose();
}
Code:
const dispose = await this.keepAlive();
try {
const result = await longRunningComputation();
await sendResults(result);
} finally {
dispose();
}
keepAliveWhile() wraps an async function with automatic cleanup — the heartbeat starts before the function runs and stops when it completes:
Code:
const result = await this.keepAliveWhile(async () => {
const data = await longRunningComputation();
return data;
});
Code:
const result = await this.keepAliveWhile(async () => {
const data = await longRunningComputation();
return data;
});
Key details:
- Multiple concurrent callers — Each
keepAlive()call returns an independent disposer. Disposing one does not affect others. - AIChatAgent built-in —
AIChatAgentautomatically callskeepAlive()during streaming responses. You do not need to add it yourself. - Uses the scheduling system — The heartbeat does not conflict with your own schedules. It shows up in
getSchedules()if you need to inspect it.
Note
keepAlive() is marked @experimental and may change between releases.For the full API reference and when-to-use guidance, refer to Schedule tasks — Keeping the agent alive.
waitForMcpConnections
https://developers.cloudflare.com/changelog/rss/#waitformcpconnectionsAIChatAgent now waits for MCP server connections to settle before calling onChatMessage. This ensures this.mcp.getAITools() returns the full set of tools, especially after Durable Object hibernation when connections are being restored in the background.
Code:
export class ChatAgent extends AIChatAgent {
// Default — waits up to 10 seconds
// waitForMcpConnections = { timeout: 10_000 };
// Wait forever
waitForMcpConnections = true;
// Disable waiting
waitForMcpConnections = false;
}
Code:
export class ChatAgent extends AIChatAgent {
// Default — waits up to 10 seconds
// waitForMcpConnections = { timeout: 10_000 };
// Wait forever
waitForMcpConnections = true;
// Disable waiting
waitForMcpConnections = false;
}
| Value | Behavior |
|---|---|
{ timeout: 10_000 } | Wait up to 10 seconds (default) |
{ timeout: N } | Wait up to N milliseconds |
true | Wait indefinitely until all connections ready |
false | Do not wait (old behavior before 0.2.0) |
For lower-level control, call
this.mcp.waitForConnections() directly inside onChatMessage instead.Other improvements
https://developers.cloudflare.com/changelog/rss/#other-improvements- MCP deduplication by name and URL —
addMcpServerwith HTTP transport now deduplicates on both server name and URL. Calling it with the same name but a different URL creates a new connection. URLs are normalized before comparison (trailing slashes, default ports, hostname case). callbackHostoptional for non-OAuth servers —addMcpServerno longer requirescallbackHostwhen connecting to MCP servers that do not use OAuth.- MCP URL security — Server URLs are validated before connection to prevent SSRF. Private IP ranges, loopback addresses, link-local addresses, and cloud metadata endpoints are blocked.
- Custom denial messages —
addToolOutputnow supportsstate: "output-error"witherrorTextfor custom denial messages in human-in-the-loop tool approval flows. requestIdin chat options —onChatMessageoptions now include arequestIdfor logging and correlating events.
Upgrade
https://developers.cloudflare.com/changelog/rss/#upgradeTo update to the latest version:
npm i agents@latest @cloudflare/ai-chat@latestContinue reading...