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Langchain4J Tool Function Calling Patterns

Checked
giuseppe-trisciuoglio·vlatest·agents·MIT

Automates complex LangChain4j tool function calls using predefined patterns for enhanced AI agent efficiency.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add giuseppe-trisciuoglio/developer-kit --skill langchain4j-tool-function-calling-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

giuseppe-trisciuoglio

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned giuseppe-trisciuoglio/developer-kit-claude-code at fe73fb33a0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fe73fb33a0
Manifest
plugins/developer-kit-java/skills/langchain4j-tool-function-calling-patterns/SKILL.md
Scanned
9 files, 2,029 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill leverages Langchain4j to enable AI agents with tool function calling patterns. It allows the agent to understand and utilize functions defined in code, passing arguments and receiving results – effectively extending its capabilities beyond simple text generation. This facilitates complex tasks requiring interaction with external systems or data processing.

When to use it

  • Automating repetitive tasks: Use it to automate processes like sending emails based on specific criteria or updating databases with extracted information.
  • Integrating with APIs: Connect your agent to third-party services by defining functions that call their APIs and returning the results.
  • Data analysis workflows: Build agents capable of analyzing data, performing calculations, and generating reports through defined function calls.
  • Complex decision making: Enable agents to make decisions based on information retrieved and processed via tool functions.

Key capabilities

  • Tool Function Calling
  • Langchain4j Integration
  • Code-based Function Definition
  • Argument Passing & Result Handling

Example prompts

  • "Find the current weather in London using the weather API."
  • "Send an email to [email protected] with the subject 'Meeting Reminder' and body 'Don't forget our meeting tomorrow.'"
  • "Calculate the total sales for Q3 2023 from the database."

Tips & gotchas

  • Requires familiarity with Langchain4j and code-based function definition.
  • Ensure functions are clearly defined and documented for optimal agent performance.