41c921bc33
- Remove all book-library MCP examples (servlet, webflux, and webmvc implementations) - Update weather example to use MCP version 0.8.0-SNAPSHOT - Refactor transport handling to use transport providers instead of direct transport objects - Update method calls from toSyncToolRegistration to toSyncToolSpecifications - Add central-portal-snapshots repository to pom.xml for dependency resolution - Align with the new MCP client class names Add MCP Sampling capability with weather example Adds MCP Sampling implementation that demonstrates how to delegate LLM requests to multiple providers. - add a weather server that retrieves data and uses MCP Sampling to generate creative content - add a client that routes requests to different LLM providers (OpenAI and Anthropic) based on model hints - add README documentation explaining the MCP Sampling workflow and implementation details The MCP Sampling capability enables applications to leverage multiple LLM providers within a single workflow, allowing for creative content generation, model comparison, and specialized task delegation. refactor: migrate to spring-ai-mcp-client-spring-boot-starter - Replace spring-ai-mcp dependency with spring-ai-mcp-client-spring-boot-starter - Update import statements from org.springframework.ai.mcp.* to io.modelcontextprotocol.client.* - Replace McpFunctionCallback with SyncMcpToolCallbackProvider - Update Spring AI version from 1.0.0-M5 to 1.0.0-SNAPSHOT in multiple projects - Enable tool callback auto-configuration with spring.ai.mcp.client.toolcallback.enabled refactor: update Spring AI artifact IDs to new naming convention - Update all Spring AI dependencies to use the new naming convention: spring-ai-*-spring-boot-starter → spring-ai-starter-* spring-ai-openai-spring-boot-starter → spring-ai-starter-model-openai spring-ai-mcp-client-spring-boot-starter → spring-ai-starter-mcp-client - And similar patterns for other artifacts - Enable debug mode in brave module's application.properties Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
57 lines
2.0 KiB
XML
57 lines
2.0 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>com.example.spring.ai</groupId>
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<artifactId>spring-ai-examples-parent</artifactId>
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<version>0.0.1-SNAPSHOT</version>
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<packaging>pom</packaging>
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<url>https://github.com/spring-projects/spring-ai</url>
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<name>Spring AI</name>
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<description>Building AI applications with Spring Boot</description>
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<modules>
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<module>models/chat/helloworld</module>
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<module>agents/reflection</module>
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<module>kotlin/kotlin-hello-world</module>
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<module>kotlin/kotlin-function-callback</module>
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<module>kotlin/rag-with-kotlin</module>
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<module>misc/spring-ai-java-function-callback</module>
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<module>misc/openai-streaming-response</module>
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<module>model-context-protocol/sqlite/simple</module>
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<module>model-context-protocol/sqlite/chatbot</module>
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<!-- modules listed in alphabetical order -->
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<module>model-context-protocol/brave</module>
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<module>model-context-protocol/client-starter/starter-default-client</module>
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<module>model-context-protocol/client-starter/starter-webflux-client</module>
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<module>model-context-protocol/filesystem</module>
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<module>model-context-protocol/weather/manual-webflux-server</module>
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<module>model-context-protocol/weather/starter-stdio-server</module>
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<module>model-context-protocol/weather/starter-webflux-server</module>
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<module>model-context-protocol/weather/starter-webmvc-server</module>
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<module>model-context-protocol/web-search/brave-starter</module>
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<module>model-context-protocol/web-search/brave-chatbot</module>
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<module>model-context-protocol/sampling/mcp-weather-webmvc-server</module>
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<module>model-context-protocol/sampling/mcp-sampling-client</module>
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<module>agentic-patterns</module>
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</modules>
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</project>
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