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Add llm-gateway module: routing, failover below the tool-calling advisor, per-provider circuit breakers, dollar caps and token limits, tenant-keyed cache; real OpenAI and Anthropic models against a local fake

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Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01JXVi2GMQ7bR5EmbUFdDj7N
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Claude
2026-10-09 10:24:57 +00:00
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@@ -21,5 +21,6 @@ Runnable companion code for the Spring AI articles on [ankurm.com](https://ankur
| [`multimodal/`](multimodal) | A receipt image through `Media` and `ChatClient.entity(...)` into a Java record, on the real `OpenAiChatModel`, `AnthropicChatModel` and `OllamaChatModel` against a local server that OCRs the image it receives (so accuracy figures describe OCR, not any vision model). The same image on three wire formats, arithmetic validation and a repair retry, accuracy under tilt, shrinking and noise, and an image-token estimate from a documented formula. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Multimodal Spring AI: Extract Structured Data from Images](https://ankurm.com/multimodal-spring-ai-extract-structured-data-from-images-receipts-java-records/) |
| [`text-to-sql/`](text-to-sql) | A question to SQL to rows, safely, on a real PostgreSQL 16: a schema prompt built through the restricted role, a JSqlParser guard (one statement, SELECT only, listed tables and functions), a read-only role with column grants and a statement timeout, a row cap, and evaluation by comparing results. Sixteen queries against four setups (13 harmful: 13 succeed with neither protection, 0 with both). The model is a script, not a language model. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Text-to-SQL with Spring AI, Done Safely](https://ankurm.com/text-to-sql-spring-ai-read-only-roles-query-validation/) |
| [`providers/`](providers) | One ticket-summarising app on the real `OpenAiChatModel`, `AnthropicChatModel` and `GoogleGenAiChatModel` against a local server in all three wire formats: where each puts the system prompt and what it sends by default, portable versus provider-specific options (and the per-call `ChatOptions` that crashes two providers and silently resets the third), prompt caching, a cost table from the vendors' price sheets, and failover with the retry multiplication measured. No vendor API called; token counts and cache hits are simulated from documented rules; latency not measured. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [Anthropic Claude vs OpenAI vs Gemini in Spring AI 2.0](https://ankurm.com/spring-ai-claude-vs-openai-vs-gemini-switch-providers-compare-cost/) |
| [`llm-gateway/`](llm-gateway) | A gateway service on Spring AI 2.0: model-hint routing, failover under the tool-calling advisor (a provider failing mid tool loop does not re-run the tool), one circuit breaker per provider, dollar caps that reserve before the call, a token-per-hour limiter, and a tenant-keyed semantic cache. Real OpenAI and Anthropic models against a local fake; no vendor API called. Spring Boot 4.1.1, Spring AI 2.0.1, Java 25. | [The LLM Gateway Pattern for Java Microservices](https://ankurm.com/llm-gateway-pattern-java-microservices/) |
Upgrading from Spring AI 1.x: [migration guide](https://ankurm.com/spring-ai-1-to-2-migration-guide/).