langchain4j-spring-boot-integration SKILL.md skillA
langchain4j-spring-boot-integration from giuseppe-trisciuoglio/developer-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration@git:20260324.a02e282Pins git:20260324.a02e282 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- giuseppe-trisciuoglio/developer-kit
- Path
plugins/developer-kit-java/skills/langchain4j-spring-boot-integration/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260324.a02e282, committed Mar 24, 2026
- First version recorded
- Feb 7, 2026
- Size
- 9,135 bytes
- Repository stars
- 367
- License
- MIT
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 …
Read the whole file at its exact version.
How to install
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration@sha256:e3a8351125ca78efThe line at the top of this page pins the label git:20260324.a02e282, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nhbjujlgc4yjtka7)
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Versions
The registry has recorded 5 versions of this file, between Feb 7, 2026 and Mar 24, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260324.a02e282 latest | 2026-03-24 | a02e282 | 9,135 B | A | view · diff |
| git:20260316.91dc3c4 | 2026-03-16 | 91dc3c4 | 9,754 B | A | view · diff |
| git:20260223.c6d4db1 | 2026-02-23 | c6d4db1 | 9,746 B | A | view · diff |
| v1.1.0 | 2026-02-08 | 147afce | 9,876 B | A | view · diff |
| v1.1.0 | 2026-02-07 | 1a732c7 | 5,254 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9135 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
giuseppe-trisciuoglio/developer-kit · 367 stars · license MIT · pushed 2026-09-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nhbjujlgc4yjtka7 GET https://markdownregistry.com/api/v1/resolve?ref=giuseppe-trisciuoglio/developer-kit/langchain4j-spring-boot-integration GET https://markdownregistry.com/api/v1/blob/e3a8351125ca78ef9a661c7108b67fa84898f4830452b4378d1a33bab6db5afb
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