Initial commit: homelab infrastructure wiki

- Full Obsidian vault content
- Host configs (ice, grizzley, ubuntu, proxmox, truenas, panda, hyte)
- Media stack documentation
- Traefik HA setup
- Automation scripts
- Bachelor party planning
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---
type: agent-doc
agent: OpenCode
source: https://opencode.ai/docs/custom-tools/
scraped: 2026-04-28T21:02:14.861865+00:00
content_hash: 34c22729
---
# 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"
export default tool({ description: "Query the project database", args: { query: tool.schema.string().describe("SQL query to execute"), }, async execute(args) { // Your database logic here return `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"
export const add = tool({ description: "Add two numbers", args: { a: tool.schema.number().describe("First number"), b: tool.schema.number().describe("Second number"), }, async execute(args) { return args.a + args.b },})
export const multiply = tool({ description: "Multiply two numbers", args: { a: tool.schema.number().describe("First number"), b: tool.schema.number().describe("Second number"), }, async execute(args) { return args.a * args.b },})
```
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"
export default tool({ description: "Restricted bash wrapper", args: { command: tool.schema.string(), }, async execute(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"
export default { description: "Tool description", args: { param: z.string().describe("Parameter description"), }, async execute(args, context) { // Tool implementation return "result" },}
```
---
### Context
Tools receive context about the current session:
```
import { tool } from "@opencode-ai/plugin"
export default tool({ description: "Get project information", args: {}, async execute(args, context) { // Access context information const { agent, sessionID, messageID, directory, worktree } = context return `Agent: ${agent}, Session: ${sessionID}, Message: ${messageID}, Directory: ${directory}, Worktree: ${worktree}` },})
```
Use context.directory for the session working directory. Use context.worktree for the git worktree root.
---
## Examples
### Write a tool in Python
You can write your tools in any language you want. Here’s an example that adds two numbers using Python.
First, create the tool as a Python script:
```
import sys
a = int(sys.argv[1])b = int(sys.argv[2])print(a + b)
```
Then create the tool definition that invokes it:
```
import { tool } from "@opencode-ai/plugin"import path from "path"
export default tool({ description: "Add two numbers using Python", args: { a: tool.schema.number().describe("First number"), b: tool.schema.number().describe("Second number"), }, async execute(args, context) { const script = path.join(context.worktree, ".opencode/tools/add.py") const result = await Bun.$`python3 ${script} ${args.a} ${args.b}`.text() return result.trim() },})
```
Here we are using the Bun.$ utility to run the Python script.