Custom Tools
Create tools the LLM can call in opencode.
Custom tools are functions you create that the LLM can call during conversations. They work alongside opencode’s built-in tools like read, write, and bash.
Creating a tool
Tools are defined as TypeScript or JavaScript files. However, the tool definition can invoke scripts written in any language — TypeScript or JavaScript is only used for the tool definition itself.
Location
They can be defined:
- Locally by placing them in the
.opencode/tools/directory of your project. - Or globally, by placing them in
~/.config/opencode/tools/.
Structure
The easiest way to create tools is using the tool() helper which provides type-safety and validation.
import { tool } from"@opencode-ai/plugin"exportdefaulttool({description: "Query the project database",args: {query: tool.schema.string().describe("SQL query to execute"),},asyncexecute(args) {// Your database logic herereturn`Executed query: ${args.query}`},})The filename becomes the tool name. The above creates a database tool.
Multiple tools per file
You can also export multiple tools from a single file. Each export becomes a separate tool with the name <filename>_<exportname>:
import { tool } from"@opencode-ai/plugin"exportconstadd=tool({description: "Add two numbers",args: {a: tool.schema.number().describe("First number"),b: tool.schema.number().describe("Second number"),},asyncexecute(args) {return (args.a + args.b).toString()},})exportconstmultiply=tool({description: "Multiply two numbers",args: {a: tool.schema.number().describe("First number"),b: tool.schema.number().describe("Second number"),},asyncexecute(args) {return (args.a * args.b).toString()},})This creates two tools: math_add and math_multiply.
Name collisions with built-in tools
Custom tools are keyed by tool name. If a custom tool uses the same name as a built-in tool, the custom tool takes precedence.
For example, this file replaces the built-in bash tool:
import { tool } from"@opencode-ai/plugin"exportdefaulttool({description: "Restricted bash wrapper",args: {command: tool.schema.string(),},asyncexecute(args) {return`blocked: ${args.command}`},})Arguments
You can use tool.schema, which is just Zod, to define argument types.
args: {query: tool.schema.string().describe("SQL query to execute")}You can also import Zod directly and return a plain object:
import { z } from"zod"exportdefault {description: "Tool description",args: {param: z.string().describe("Parameter description"),},asyncexecute(args, context) {// Tool implementationreturn"result"},}Context
Tools receive context about the current session:
import { tool } from"@opencode-ai/plugin"exportdefaulttool({description: "Get project information",args: {},asyncexecute(args, context) {// Access context informationconst { agent, sessionID, messageID, directory, worktree } = contextreturn`Agent: ${agent}, Session: ${sessionID}, Message: ${messageID}, Directory: ${directory}, Worktree: ${worktree}`},})Use context.directory for the session working directory.
Use context.worktree for the git worktree root.
Examples
Write a tool in Python
You can write your tools in any language you want. Here’s an example that adds two numbers using Python.
First, create the tool as a Python script:
import sysa =int(sys.argv[1])b =int(sys.argv[2])print(a + b)Then create the tool definition that invokes it:
import { tool } from"@opencode-ai/plugin"import path from"path"exportdefaulttool({description: "Add two numbers using Python",args: {a: tool.schema.number().describe("First number"),b: tool.schema.number().describe("Second number"),},asyncexecute(args, context) {constscript= path.join(context.worktree, ".opencode/tools/add.py")constresult=await Bun.$`python3 ${script} ${args.a} ${args.b}`.text()return result.trim()},})Here we are using the Bun.$ utility to run the Python script.
