Spring AI on Future AGI
Agent Frameworks
Spring framework integration for chat models, embeddings, and RAG in Java.
What you get
Everything traced, scored, and improvable
One install instruments Spring AI on OpenTelemetry. Future AGI then layers evaluators, optimisers, and simulations on top of the same trace tree — no second SDK, no double instrumentation.
Trace
Auto-instrumented spans
Every Spring AI call becomes a span — inputs, outputs, latency, tokens, cost, model name, tool args, retrieval results, and chain steps captured automatically.
Evaluate
70+ evaluators on every span
Attach Groundedness, Context Relevance, Prompt Injection, Toxicity, and 70+ more — purpose-built scorers powered by the Turing eval models, not generic LLM-as-judge.
Optimize
Closed-loop improvement
Pipe failed traces into agent-opt: GEPA, PromptWizard, ProTeGi, and Bayesian search rewrite your prompts with proof of measured gains.
Simulate
Adversarial scenarios at scale
Generate hundreds of personas and run them through your Spring AI agent before launch — text and voice, scripted or persona-driven.
Quickstart · <3 min
Instrument Spring AI in three steps
-
Step 1
Install the traceAI package
One package per language, ships from PyPI, npm, and Maven Central.
-
Step 2
Register the trace provider
Set
FI_API_KEYandFI_SECRET_KEY, then callSpringAIInstrumentor().instrument(). -
Step 3
Run your existing Spring AI app
No code changes. Traces appear in the Future AGI dashboard within seconds.
Install
<dependency>
<groupId>ai.futureagi</groupId>
<artifactId>traceai-spring-ai</artifactId>
<version>LATEST</version>
</dependency>Instrument
import ai.futureagi.fi.instrumentation.TraceProvider;
import ai.futureagi.traceai.spring_ai.SpringAIInstrumentor;
TraceProvider provider = TraceProvider.builder()
.projectName("spring_ai_app")
.projectType("observe")
.build();
new SpringAIInstrumentor().instrument(provider);
// Your existing Spring AI code runs unchanged.
// Every call is now an OpenTelemetry span in Future AGI.Pick a recipe
What do you want to do with Spring AI?
Each recipe is a copy-paste page with the exact code, the gotchas, and a working example you can clone.
Recipes for Spring AI
Adjacent integrations
Other agent frameworks
LangChain
Chains, agents, and LCEL pipelines with auto-traced spans for every step.
LangChain4j
Java-native chains, agents, and RAG with LangChain4j.
DSPy
Declarative LLM programs with optimisable signatures and modules.
CrewAI
Role-based multi-agent crews with task plans and tool use.