Claude
e79b75a105
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
13 lines
1.3 KiB
Plaintext
13 lines
1.3 KiB
Plaintext
# The order tool served once over MCP (Streamable HTTP), used from Spring AI and from LangChain4j
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MCP server: Spring AI 2.0.1 spring-ai-starter-mcp-server-webmvc, one @McpTool method, on port 33237.
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Spring AI client : McpClient.sync(HttpClientStreamableHttpTransport) -> SyncMcpToolCallbackProvider -> ChatClient.defaultToolCallbacks
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LangChain4j client: DefaultMcpClient + StreamableHttpMcpTransport -> McpToolProvider -> AiServices.toolProvider
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Spring AI answer : Done: [{"text":"Order ORD-1002: Status=PROCESSING, ETA=2026-10-18"}] (2 requests to the model)
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tool offered to the model: tool getOrderStatus - Get current order status by order ID params {"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"orderId":{"type":"string","description":"The unique identifier of the order"}},"required":["orderId"]}
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LangChain4j answer : Done: Order ORD-1002: Status=PROCESSING, ETA=2026-10-18 (2 requests to the model)
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tool offered to the model: tool getOrderStatus - Get current order status by order ID params {"type":"object","properties":{"orderId":{"type":"string","description":"The unique identifier of the order"}},"required":["orderId"]}
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Times the one tool method on the server ran: 1 for Spring AI, then 1 more for LangChain4j.
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