- 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>
- 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
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
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.
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
