If you’re reading this section, you probably have a product that AI agents can use as a tool. We’re glad you’re here! Adding tools is easy once you understand the project structure. A few things need to be done for a tool to be considered completely supported:
1

Create a config for your tool

  • Create a new tool config at agentstack/_tools/<your_tool>/config.json
  • As an example, look at our tool config fixture
  • AgentStack uses this to know what code to insert where. Follow the structure to add your tool.
2

Create your implementation

  • In agentstack/_tools, you’ll see other implementations of tools.
  • Create a file agentstack/_tools/<your_tool>/__init__.py,
  • Build your tool implementation simply as python functions in this file. The functions that are to be exposed to the agent as a tool should contain detailed docstrings and have typed parameters.
  • The tools that are exported from this file should be listed in the tool’s config json.
3

Test your tool

Manually test your tool integration by running agentstack tools add <your_tool> and ensure it behaves as expected.
This must be done within an AgentStack project. To create your test project, run agentstack init test_proj, then cd into the project and try adding your tool.
4

Open a PR to add your tool to the next release

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Tool Config

  • name (str) - Name of your tool
  • category (str) - Category your tool belongs in
  • tools (List[str]) - The exported functions within your tool file
  • url (str) - URL to where developers can learn more about your tool
  • tools_bundled (bool) - True if the tool file exports a list of tools
  • cta (str) - Call To Action printed in the terminal after install
  • env (dict) - Key: Environment variable name; Value: default value
  • packages (List[str]) - Python packages to be installed to support your tool
  • post_install (str) - A script to be run after install of your tool
  • post_remove (str) - A script to be run after removal of your tool