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Add langchain4j-interop: Spring AI 2.0 and LangChain4j 1.22 side by side

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Same order assistant in both frameworks against a local fake OpenAI
server: starter bean collision, wire differences, tool failure and loop
bounds, observability meters, MCP-first tools, and a compile check of
the 2025 article's snippets and Maven coordinates.

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01G8ikz8xdWuTP5yun8DZ1hk
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Claude
2026-10-11 10:09:45 +00:00
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commit e79b75a105
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langchain4j-interop/output/04-observability.txt
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# What each framework records for one question that uses one tool (2 model requests)
Spring AI 2.0.1: model and client given an ObservationRegistry plus DefaultMeterObservationHandler and ChatModelMeterObservationHandler (the two Spring Boot registers for you).
gen_ai.client.operation [TIMER] error=none, gen_ai.operation.name=chat, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.system=openai
gen_ai.client.operation.active [LONG_TASK_TIMER] gen_ai.operation.name=chat, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=none, gen_ai.system=openai
gen_ai.client.token.usage [COUNTER] gen_ai.operation.name=chat, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.system=openai, gen_ai.token.type=input
gen_ai.client.token.usage [COUNTER] gen_ai.operation.name=chat, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.system=openai, gen_ai.token.type=output
gen_ai.client.token.usage [COUNTER] gen_ai.operation.name=chat, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.system=openai, gen_ai.token.type=total
okhttp.requests [TIMER] error=none, outcome=SUCCESS
okhttp.requests.active [LONG_TASK_TIMER] outcome=UNKNOWN
spring.ai.advisor [TIMER] error=none, gen_ai.operation.name=framework, gen_ai.system=spring_ai, spring.ai.kind=advisor
spring.ai.advisor.active [LONG_TASK_TIMER] gen_ai.operation.name=framework, gen_ai.system=spring_ai, spring.ai.kind=advisor
spring.ai.chat.client [TIMER] error=none, gen_ai.operation.name=framework, gen_ai.system=spring_ai, spring.ai.kind=chat_client
spring.ai.chat.client.active [LONG_TASK_TIMER] gen_ai.operation.name=framework, gen_ai.system=spring_ai, spring.ai.kind=chat_client
spring.ai.tool [TIMER] error=none, gen_ai.operation.name=execute_tool, gen_ai.system=spring_ai, spring.ai.kind=tool_call
spring.ai.tool.active [LONG_TASK_TIMER] gen_ai.operation.name=execute_tool, gen_ai.system=spring_ai, spring.ai.kind=tool_call
LangChain4j 1.22.0, no listener registered: 0 meters.
LangChain4j 1.22.0 with TracingChatInterceptor, the listener from the original article (it still compiles and runs):
llm.request.latency [TIMER] model=gpt-6.1-sol
llm.tokens.input [COUNTER] model=gpt-6.1-sol
llm.tokens.output [COUNTER] model=gpt-6.1-sol
LangChain4j 1.22.0 with the shipped MicrometerMetricsChatModelListener (langchain4j-micrometer-metrics 1.22.0-beta32):
gen_ai.client.token.usage [DISTRIBUTION_SUMMARY] gen_ai.operation.name=chat, gen_ai.provider.name=openai, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.token.type=input
gen_ai.client.token.usage [DISTRIBUTION_SUMMARY] gen_ai.operation.name=chat, gen_ai.provider.name=openai, gen_ai.request.model=gpt-6.1-sol, gen_ai.response.model=gpt-6.1-sol, gen_ai.token.type=output