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Custom tools are functions you create that the LLM can call during conversations. They work alongside Symbiotic Code’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 .symbiotic/tools/ directory of your project.
  • Or globally, by placing them in ~/.config/symbiotic/tools/.

Structure

The easiest way to create tools is using the tool() helper which provides type-safety and validation.
.symbiotic/tools/database.ts
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>:
.symbiotic/tools/math.ts
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:
.symbiotic/tools/bash.ts
Prefer unique names unless you intentionally want to replace a built-in tool. If you want to disable a built in tool but not override it, use permissions.

Arguments

You can use tool.schema, which is just Zod, to define argument types.
You can also import Zod directly and return a plain object:

Context

Tools receive context about the current session:
.symbiotic/tools/project.ts
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:
.symbiotic/tools/add.py
Then create the tool definition that invokes it:
.symbiotic/tools/python-add.ts
Here we are using the Bun.$ utility to run the Python script.