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type agent source scraped content_hash
agent-doc OpenCode https://opencode.ai/docs/sdk/ 2026-04-28T21:02:14.594110+00:00 4720c626

SDK

Type-safe JS client for opencode server.

The opencode JS/TS SDK provides a type-safe client for interacting with the server. Use it to build integrations and control opencode programmatically.

Learn more about how the server works. For examples, check out the projects built by the community.


Install

Install the SDK from npm:

npm install @opencode-ai/sdk

Create client

Create an instance of opencode:

import { createOpencode } from "@opencode-ai/sdk"
const { client } = await createOpencode()

This starts both a server and a client

Options

Option Type Description Default
hostname string Server hostname 127.0.0.1
port number Server port 4096
signal AbortSignal Abort signal for cancellation undefined
timeout number Timeout in ms for server start 5000
config Config Configuration object {}

Config

You can pass a configuration object to customize behavior. The instance still picks up your opencode.json, but you can override or add configuration inline:

import { createOpencode } from "@opencode-ai/sdk"
const opencode = await createOpencode({  hostname: "127.0.0.1",  port: 4096,  config: {    model: "anthropic/claude-3-5-sonnet-20241022",  },})
console.log(`Server running at ${opencode.server.url}`)
opencode.server.close()

Client only

If you already have a running instance of opencode, you can create a client instance to connect to it:

import { createOpencodeClient } from "@opencode-ai/sdk"
const client = createOpencodeClient({  baseUrl: "http://localhost:4096",})
Option Type Description Default
baseUrl string URL of the server http://localhost:4096
fetch function Custom fetch implementation globalThis.fetch
parseAs string Response parsing method auto
responseStyle string Return style: data or fields fields
throwOnError boolean Throw errors instead of return false

Types

The SDK includes TypeScript definitions for all API types. Import them directly:

import type { Session, Message, Part } from "@opencode-ai/sdk"

All types are generated from the server’s OpenAPI specification and available in the types file.


Errors

The SDK can throw errors that you can catch and handle:

try {  await client.session.get({ path: { id: "invalid-id" } })} catch (error) {  console.error("Failed to get session:", (error as Error).message)}

Structured Output

You can request structured JSON output from the model by specifying an format with a JSON schema. The model will use a StructuredOutput tool to return validated JSON matching your schema.

Basic Usage

const result = await client.session.prompt({  path: { id: sessionId },  body: {    parts: [{ type: "text", text: "Research Anthropic and provide company info" }],    format: {      type: "json_schema",      schema: {        type: "object",        properties: {          company: { type: "string", description: "Company name" },          founded: { type: "number", description: "Year founded" },          products: {            type: "array",            items: { type: "string" },            description: "Main products",          },        },        required: ["company", "founded"],      },    },  },})
// Access the structured outputconsole.log(result.data.info.structured_output)// { company: "Anthropic", founded: 2021, products: ["Claude", "Claude API"] }

Output Format Types

Type Description
text Default. Standard text response (no structured output)
json_schema Returns validated JSON matching the provided schema

JSON Schema Format

When using type: 'json_schema', provide:

Field Type Description
type 'json_schema' Required. Specifies JSON schema mode
schema object Required. JSON Schema object defining the output structure
retryCount number Optional. Number of validation retries (default: 2)

Error Handling

If the model fails to produce valid structured output after all retries, the response will include a StructuredOutputError:

if (result.data.info.error?.name === "StructuredOutputError") {  console.error("Failed to produce structured output:", result.data.info.error.message)  console.error("Attempts:", result.data.info.error.retries)}

Best Practices

  1. Provide clear descriptions in your schema properties to help the model understand what data to extract
  2. Use required to specify which fields must be present
  3. Keep schemas focused - complex nested schemas may be harder for the model to fill correctly
  4. Set appropriate retryCount - increase for complex schemas, decrease for simple ones

APIs

The SDK exposes all server APIs through a type-safe client.


Global

Method Description Response
global.health() Check server health and version { healthy: true, version: string }

Examples

const health = await client.global.health()console.log(health.data.version)

App

Method Description Response
app.log() Write a log entry boolean
app.agents() List all available agents Agent[]

// Write a log entryawait client.app.log({  body: {    service: "my-app",    level: "info",    message: "Operation completed",  },})
// List available agentsconst agents = await client.app.agents()

Project

Method Description Response
project.list() List all projects Project[]
project.current() Get current project Project

// List all projectsconst projects = await client.project.list()
// Get current projectconst currentProject = await client.project.current()

Path

Method Description Response
path.get() Get current path Path

// Get current path informationconst pathInfo = await client.path.get()

Method Description Response
config.get() Get config info Config
config.providers() List providers and default models { providers: Provider[], default: { [key: string]: string } }

const config = await client.config.get()
const { providers, default: defaults } = await client.config.providers()

Sessions

Method Description Notes
session.list() List sessions Returns Session[]
session.get({ path }) Get session Returns Session
session.children({ path }) List child sessions Returns Session[]
session.create({ body }) Create session Returns Session
session.delete({ path }) Delete session Returns boolean
session.update({ path, body }) Update session properties Returns Session
session.init({ path, body }) Analyze app and create AGENTS.md Returns boolean
session.abort({ path }) Abort a running session Returns boolean
session.share({ path }) Share session Returns Session
session.unshare({ path }) Unshare session Returns Session
session.summarize({ path, body }) Summarize session Returns boolean
session.messages({ path }) List messages in a session Returns { info: Message, parts: Part[]}[]
session.message({ path }) Get message details Returns { info: Message, parts: Part[]}
session.prompt({ path, body }) Send prompt message body.noReply: true returns UserMessage (context only). Default returns AssistantMessage with AI response. Supports body.outputFormat for structured output
session.command({ path, body }) Send command to session Returns { info: AssistantMessage, parts: Part[]}
session.shell({ path, body }) Run a shell command Returns AssistantMessage
session.revert({ path, body }) Revert a message Returns Session
session.unrevert({ path }) Restore reverted messages Returns Session
postSessionByIdPermissionsByPermissionId({ path, body }) Respond to a permission request Returns boolean

// Create and manage sessionsconst session = await client.session.create({  body: { title: "My session" },})
const sessions = await client.session.list()
// Send a prompt messageconst result = await client.session.prompt({  path: { id: session.id },  body: {    model: { providerID: "anthropic", modelID: "claude-3-5-sonnet-20241022" },    parts: [{ type: "text", text: "Hello!" }],  },})
// Inject context without triggering AI response (useful for plugins)await client.session.prompt({  path: { id: session.id },  body: {    noReply: true,    parts: [{ type: "text", text: "You are a helpful assistant." }],  },})

Files

Method Description Response
find.text({ query }) Search for text in files Array of match objects with path, lines, line_number, absolute_offset, submatches
find.files({ query }) Find files and directories by name string[] (paths)
find.symbols({ query }) Find workspace symbols Symbol[]
file.read({ query }) Read a file { type: "raw"
file.status({ query? }) Get status for tracked files File[]

find.files supports a few optional query fields:

  • type: "file" or "directory"
  • directory: override the project root for the search
  • limit: max results (1–200)

// Search and read filesconst textResults = await client.find.text({  query: { pattern: "function.*opencode" },})
const files = await client.find.files({  query: { query: "*.ts", type: "file" },})
const directories = await client.find.files({  query: { query: "packages", type: "directory", limit: 20 },})
const content = await client.file.read({  query: { path: "src/index.ts" },})

TUI

Method Description Response
tui.appendPrompt({ body }) Append text to the prompt boolean
tui.openHelp() Open the help dialog boolean
tui.openSessions() Open the session selector boolean
tui.openThemes() Open the theme selector boolean
tui.openModels() Open the model selector boolean
tui.submitPrompt() Submit the current prompt boolean
tui.clearPrompt() Clear the prompt boolean
tui.executeCommand({ body }) Execute a command boolean
tui.showToast({ body }) Show toast notification boolean

// Control TUI interfaceawait client.tui.appendPrompt({  body: { text: "Add this to prompt" },})
await client.tui.showToast({  body: { message: "Task completed", variant: "success" },})

Auth

Method Description Response
auth.set({ ... }) Set authentication credentials boolean

await client.auth.set({  path: { id: "anthropic" },  body: { type: "api", key: "your-api-key" },})

Events

Method Description Response
event.subscribe() Server-sent events stream Server-sent events stream

// Listen to real-time eventsconst events = await client.event.subscribe()for await (const event of events.stream) {  console.log("Event:", event.type, event.properties)}