langchain4j-spring-boot-integration

langchain4j-spring-boot-integration is a skill for Claude Code from giuseppe-trisciuoglio/developer-kit. It costs 88 tokens per session (1,938 once invoked), scanned A, original, MIT.

Integration patterns for using LangChain4j inside Spring Boot, a Java framework for configuring and running application services. They cover model beans, automatic setup, dependency injection, chat memory, retrieval pipelines, Spring Data, and several AI providers.

In plain words
What is it for?
Use it to add LangChain4j to Spring Boot services, configure model providers, create injected AI services, manage chat memory, and connect RAG pipelines to Spring Data.
Why use it?
They reduce the wiring needed to add AI features to an existing Spring application and let those features use Spring's normal configuration and dependency management. This helps keep models, services, memory, and data access in one application structure.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the developer-kit-java plugin — 52 skills, 11 commands, 9 agents shipped together

Good fit Use it to add LangChain4j to Spring Boot services, configure model providers, create injected AI services, manage chat memory, and connect RAG pipelines to Spring Data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add giuseppe-trisciuoglio/developer-kit --skill langchain4j-spring-boot-integration
Clone the repo
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit

Made for: Claude Code.

Or install developer-kit-java, the plugin that ships this one along with the rest of its 52 skills, 11 commands, 9 agents.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/skills/giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration"><img src="https://agentmods.dev/badge/skills/giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 1 Apr 2026
  • Snyk pass 1 Apr 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.01938
Opus 5 $0.00044 $0.00969
Sonnet 5 $0.00018 $0.00388
Haiku 4.5 $0.00009 $0.00194

Measured today against content hash e3a8351125ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

langchain4j-spring-boot-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/developer-kit-java/skills/langchain4j-spring-boot-integration/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LangChain4j Spring Boot Integration

Integrate LangChain4j with Spring Boot using declarative AI Services, auto-configuration, and Spring Boot starters. Configure AI model beans, set up chat memory, implement RAG pipelines with Spring Data, and build production-ready AI applications.

When to Use

Use this skill when:

  • Integrating LangChain4j into existing Spring Boot applications
  • Building AI-powered microservices with Spring Boot
  • Configuring AI model beans with @Bean annotations
  • Setting up auto-configuration for AI models and services
  • Creating declarative AI Services with Spring dependency injection
  • Implementing RAG systems with Spring Data integrations
  • Setting up chat memory with Spring context management
  • Configuring multiple AI providers (OpenAI, Azure, Ollama, Anthropic)
  • Building production-ready AI applications with Spring Boot

Overview

LangChain4j Spring Boot integration provides declarative AI Services through Spring Boot starters, enabling automatic configuration of AI components based on properties. Combine Spring dependency injection with LangChain4j's AI capabilities using interface-based definitions with annotations.

Instructions

1. Add Dependencies

<!-- Core LangChain4j Spring Boot Starter -->
<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-spring-boot-starter</artifactId>
    <version>1.8.0</version>
</dependency>

<!-- OpenAI Spring Boot Starter -->
<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-open-ai-spring-boot-starter</artifactId>
    <version>1.8.0</version>
</dependency>

2. Configure Application Properties

# application.properties
langchain4j.open-ai.chat-model.api-key=${OPENAI_API_KEY}
langchain4j.open-ai.chat-model.model-name=gpt-4o-mini
langchain4j.open-ai.chat-model.temperature=0.7
langchain4j.open-ai.chat-model.timeout=PT60S
langchain4j.open-ai.chat-model.max-tokens=1000

Or using YAML:

langchain4j:
  open-ai:
    chat-model:
      api-key: ${OPENAI_API_KEY}
      model-name: gpt-4o-mini
      temperature: 0.7
      timeout: 60s
      max-tokens: 1000

Read the full file on GitHub · 306 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 306 lines · 88 tokens per session scan A e3a8351125ca

Subscribe to this mod's changes

langchain4j-spring-boot-integration is a skill published in the GitHub repository giuseppe-trisciuoglio/developer-kit (343 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 1,938 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.

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