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FreeManaged Agents TypeScript
Reference guide for using Anthropic TypeScript SDK to create and manage agents, sessions, environments. Works best with Claude AI.
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<!--
name: 'Data: Managed Agents reference — TypeScript'
description: Reference guide for using the Anthropic TypeScript SDK to create and manage agents, sessions, environments, streaming, custom tools, file uploads, and MCP server integration
ccVersion: 2.1.105
-->
# Managed Agents — TypeScript
> **Bindings not shown here:** This README covers the most common managed-agents flows for TypeScript. If you need a class, method, namespace, field, or behavior that isn't shown, WebFetch the TypeScript SDK repo **or the relevant docs page** from `shared/live-sources.md` rather than guess. Do not extrapolate from cURL shapes or another language's SDK.
> **Agents are persistent — create once, reference by ID.** Store the agent ID returned by `agents.create` and pass it to every subsequent `sessions.create`; do not call `agents.create` in the request path. The Anthropic CLI is one convenient way to create agents and environments from version-controlled YAML — its URL is in `shared/live-sources.md`. The examples below show in-code creation for completeness; in production the create call belongs in setup, not in the request path.
## Installation
```bash
npm install @anthropic-ai/sdk
```
## Client Initialization
```typescript
import Anthropic from "@anthropic-ai/sdk";
// Default (uses ANTHROPIC_API_KEY env var)
const client = new Anthropic();
// Explicit API key
const client = new Anthropic({ apiKey: "your-api-key" });
```
---
## Create an Environment
```typescript
const environment = await client.beta.environments.create(
{
name: "my-dev-env",
config: {
type: "cloud",
networking: { type: "unrestricted" },
},
},
);
console.log(environment.id); // env_...
```
---
## Create an Agent (required first step)
> ⚠️ **There is no inline agent config.** `model`/`system`/`tools` live on the agent object, not the session. Always start with `agents.create()` — the session only takes `agent: { type: "agent", id: agent.id }`.
### Minimal
```typescript
// 1. Create the agent (reusable, versioned)
const agent = await client.beta.agents.create(
{
name: "Coding Assistant",
model: "{{OPUS_ID}}",
tools: [{ type: "agent_toolset_20260401", default_config: { enabled: true } }],
},
);
// 2. Start a session
const session = await client.beta.sessions.create(
{
agent: { type: "agent", id: agent.id, version: agent.version },
environment_id: environment.id,
},
);
console.log(session.id, session.status);
```
### With system prompt and custom tools
```typescript
const agent = await client.beta.agents.create(
{
name: "Code Reviewer",
model: "{{OPUS_ID}}",
system: "You are a senior code reviewer.",
tools: [
{ type: "agent_toolset_20260401", default_config: { enabled: true } },
{
type: "custom",
name: "run_tests",
description: "Run the test suite",
input_schema: {
type: "object",
properties: {
test_path: { type: "string", description: "Path to test file" },
},
required: ["test_path"],
},
},
],
},
);
const session = await client.beta.sessions.create(
{
agent: { type: "agent", id: agent.id, version: agent.version },
environment_id: environment.id,
title: "Code review session",
resources: [
{
type: "github_repository",
url: "https://github.com/owner/repo",
mount_path: "/workspace/repo",
authorization_token: process.env.GITHUB_TOKEN,
branch: "main",
},
],
},
);
```
---
## Send a User Message
```typescript
await client.beta.sessions.events.send(
session.id,
{
events: [
{
type: "user.message",
content: [{ type: "text", text: "Review the auth module" }],
},
],
},
);
```
> 💡 **Stream-first:** Open the stream *before* (or concurrently with) sending the message. The stream only delivers events that occur after it opens — stream-after-send means early events arrive buffered in one batch. See [Steering Patterns](../../shared/managed-agents-events.md#steering-patterns).
---
## Stream Events (SSE)
```typescript
// Stream-first: open stream and send concurrently
const [events] = await Promise.all([
collectStream(session.id),
client.beta.sessions.events.send(
session.id,
{ events: [{ type: "user.message", content: [{ type: "text", text: "..." }] }] },
),
]);
// Standalone stream iteration:
const stream = await client.beta.sessions.stream(
session.id,
);
for await (const event of stream) {
switch (event.type) {
case "agent.message":
for (const block of event.content) {
if (block.type === "text") {
process.stdout.write(block.text);
}
}
break;
case "agent.custom_tool_use":
// Custom tool invocation — session is now idle
console.log(`\
Custom tool call: ${event.tool_name}`);
console.log(`Input: ${JSON.stringify(event.input)}`);
break;
case "session.status_idle":
console.log("\
--- Agent idle ---");
break;
case "session.status_terminated":
console.log("\
--- Session terminated ---");
break;
}
}
```
---
## Provide Custom Tool Result
```typescript
await client.beta.sessions.events.send(
session.id,
{
events: [
{
type: "user.custom_tool_result",
custom_tool_use_id: "sevt_abc123",
content: [{ type: "text", text: "All 42 tests passed." }],
},
],
},
);
```
---
## Poll Events
```typescript
const events = await client.beta.sessions.events.list(
session.id,
);
for (const event of events.data) {
console.log(`${event.type}: ${event.id}`);
}
```
---
## Full Streaming Loop with Custom Tools
```typescript
function runCustomTool(toolName: string, toolInput: unknown): string {
if (toolName === "run_tests") {
// Your tool implementation here
return "All tests passed.";
}
return `Unknown tool: ${toolName}`;
}
async function runSession(client: Anthropic, sessionId: string) {
while (true) {
const stream = await client.beta.sessions.stream(
sessionId,
);
const toolCalls: Array<{ custom_tool_use_id: string; tool_name: string; input: unknown }> = [];
for await (const event of stream) {
if (event.type === "agent.message") {
for (const block of event.content) {
if (block.type === "text") {
process.stdout.write(block.text);
}
}
} else if (event.type === "agent.custom_tool_use") {
toolCalls.push({
id: event.id,
tool_name: event.tool_name,
input: event.input,
});
} else if (event.type === "session.status_idle") {
break;
} else if (event.type === "session.status_terminated") {
return;
}
}
if (toolCalls.length === 0) break;
// Process custom tool calls
const results = toolCalls.map((call) => ({
type: "user.custom_tool_result" as const,
custom_tool_use_id: call.id,
content: [{ type: "text" as const, text: runCustomTool(call.tool_name, call.input) }],
}));
await client.beta.sessions.events.send(
sessionId,
{ events: results },
);
}
}
```
---
## Upload a File
```typescript
import fs from "fs";
const file = await client.beta.files.upload({
file: fs.createReadStream("data.csv"),
purpose: "agent",
});
// Use in a session
const session = await client.beta.sessions.create(
{
agent: { type: "agent", id: agent.id, version: agent.version },
environment_id: environment.id,
resources: [{ type: "file", file_id: file.id, mount_path: "/workspace/data.csv" }],
},
);
```
---
## List and Download Session Files
List files the agent wrote to `/mnt/session/outputs/` during a session, then download them.
```typescript
import fs from "fs";
// List files associated with a session
const files = await client.beta.files.list({
scope_id: session.id,
betas: ["managed-agents-2026-04-01"],
});
for (const f of files.data) {
console.log(f.filename, f.size_bytes);
// Download and save to disk
const resp = await client.beta.files.download(f.id);
const buffer = Buffer.from(await resp.arrayBuffer());
fs.writeFileSync(f.filename, buffer);
}
```
> 💡 There's a brief indexing lag (~1–3s) between `session.status_idle` and output files appearing in `files.list`. Retry once or twice if the list is empty.
---
## Session Management
```typescript
// Get session details
const session = await client.beta.sessions.retrieve("sesn_011CZxAbc123Def456");
console.log(session.status, session.usage);
// List sessions
const sessions = await client.beta.sessions.list();
// Delete a session
await client.beta.sessions.delete("sesn_011CZxAbc123Def456");
// Archive a session
await client.beta.sessions.archive("sesn_011CZxAbc123Def456");
```
---
## MCP Server Integration
```typescript
// Agent declares MCP server (no auth here — auth goes in a vault)
const agent = await client.beta.agents.create({
name: "MCP Agent",
model: "{{OPUS_ID}}",
mcp_servers: [
{ type: "url", name: "my-tools", url: "https://my-mcp-server.example.com/sse" },
],
tools: [
{ type: "agent_toolset_20260401", default_config: { enabled: true } },
{ type: "mcp_toolset", mcp_server_name: "my-tools" },
],
});
// Session attaches vault(s) containing credentials for those MCP server URLs
const session = await client.beta.sessions.create({
agent: agent.id,
environment_id: environment.id,
vault_ids: [vault.id],
});
```
See `shared/managed-agents-tools.md` §Vaults for creating vaults and adding credentials.
#typescript#anthropic#sdk#managed agents#claude ai
Source: Piebald-AI/claude-code-system-prompts by Piebald-AI · License: MIT
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