* feat(anthropic): add support for claude-opus-4-0 and claude-sonnet-4-0 models
- Introduce `CLAUDE_OPUS_4` and `CLAUDE_SONNET_4` to `ChatModel` enum
- Update documentation to include new model options
Signed-off-by: Alexandros Pappas <apappascs@gmail.com>
* add model aliases url to anthropic documentation
Signed-off-by: Alexandros Pappas <apappascs@gmail.com>
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Signed-off-by: Alexandros Pappas <apappascs@gmail.com>
- The documentation content regarding RAG has been updated. If you need to use the RetrievalAugmentationAdvisor, you should depend on spring-ai-rag.
Signed-off-by: Sun Yuhan <1085481446@qq.com>
Older STDIO transports can't be pulled, this should be a milestone version and should use `spring-ai-starter-mcp-server`.
Signed-off-by: Yang Buyi <52228969+yangbuyiya@users.noreply.github.com>
Adds a new configuration property `spring.ai.tools.throw-exception-on-error` that controls how tool execution errors are handled:
- When false (default): errors are converted to messages and sent back to the AI model
- When true: errors are thrown as exceptions for the caller to handle
The implementation:
- Adds the property to ToolCallingProperties
- Updates ToolCallingAutoConfiguration to use the property
- Improves error handling in MCP tool callbacks to use ToolExecutionException
- Adds tests to verify both behaviors
- Updates documentation with the new property
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
The RelevancyEvaluator is key for validating RAG flows. This pull request improves it by making the PromptTemplate configurable, improving the format of the default one, introducing a Builder, and extending the documentation with more details on how to use it.
I added some unit tests. The RelevancyEvaluator is used in lots of integration tests in the project to test the QuestionAnswerAdvisor and RetrievalAugmentationAdvisor, that also help assessing the evaluator itself.
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
* Add context about reactive/imperative applications
* Fix typos and improve formatting
* Highlight Spring Boot 3.4 bug as IMPORTANT note
* Clarify tool calling impact on Micrometer observations
- Update Observability section with details about tool calling observability support
- Move "Migrating to ToolCallback API" guide from Tool Calling section to Upgrade Notes
- Update Observability section with details about tool calling observability support
Related to #3230
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
Fixes: #3187
This commit addresses the issue with Spring environment variables that directly
mirror Spring AI application properties, which can confuse users into thinking
they should always set environment variables that match Spring property names.
Instead, we've replaced all instances of SPRING_* prefixed environment variables
in the documentation with custom-named alternatives that are referenced using
Spring Expression Language (SpEL) or retrieved programmatically.
Each documentation section now shows multiple configuration approaches:
- Direct property setting in application.properties/yml
- Using custom environment variables with SpEL
- Accessing environment variables programmatically
This gives users more flexibility while making it clear that using SPRING_*
prefixed environment variables is not required or recommended.
Signed-off-by: Soby Chacko <soby.chacko@broadcom.com>
Add support for configuring request timeout in MCP server with a default of 20 seconds.
This timeout applies to all requests made through the client, including tool calls,
resource access, and prompt operations.
- Add requestTimeout property to McpServerProperties with default of 20s
- Configure server builder with the timeout value
- Add tests for default and custom timeout configurations
- Update documentation with the new property
Resolves#3205
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
Fixes: #886
Add ability to configure path prefix for OpenSearch API endpoints via properties.
This allows connecting to OpenSearch instances running behind a reverse proxy
with a non-root path, similar to Spring Elasticsearch's path-prefix property.
- Add pathPrefix property to OpenSearchVectorStoreProperties
- Apply pathPrefix to OpenSearchClient when configured
- Add documentation and unit tests
Signed-off-by: Soby Chacko <soby.chacko@broadcom.com>
- Add capability configuration to enable/disable tools, resources, prompts, and completions individually
- Refactor server configuration to conditionally register capabilities based on configuration
- Add support for server instructions configuration
- Update documentation with new capability options and completion management
- Add tests for new capabilities and configurations
Resolves#3207
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
- Restructure navigation with clearer hierarchy using "Reference" and "Guides" sections
- Remove deprecated model-specific function calling documentation
- Update all model references to point to centralized Tool Calling documentation
- Rename "Docker Compose" to "Development-time Services" for clarity
- Move "Testing" under Reference section
- Add link to "Awesome Spring AI" community resources
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
* The defaultConversationId was configurable, but not used. It’s now being used correctly when a custom defaultConversationId is defined.
* The memory advisors were missing the required configuration of a Schedule due to a default value missing. Now as default Scheduler is used, automatically protecting from blocking. It can be customised via “scheduler()”, replacing the old “protectFromBlocking()” method.
* The new defaultTopK options in VectorStoreChatMemoryAdvisor were documented, but not implemented. That is fixed now.
* The memory advisors were not null-safe. Now they are.
* Improved tests to check the null-safe behaviour.
* Updated the documentation accordingly.
Fixes gh-3133
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
- Add introduction explaining common scenarios where multiple chat models are useful.
- Restructuring the content into clear subsections:
- Multiple ChatClients with a Single Model Type
- ChatClients for Different Model Types
- Multiple OpenAI-Compatible API Endpoints
Signed-off-by: Mark Pollack <mark.pollack@broadcom.com>
Time-series each chat window in Cassandra, keeping past (and deleted) windows still in the db.
Add ability to store different MessageTypes.
Signed-off-by: mck <mck@apache.org>
Fixes: #1949
- Rename 'disallowSchemaChanges(boolean)' to 'initializeSchema(boolean)' for consistency
with other vector store implementations
- Maintain semantic meaning by inverting the default value (from disallowSchemaChanges=false
to initializeSchema=true) in the CassandraVectorStore implementation
- Keep default behavior in auto-configuration consistent with other vector stores
- Remove unused 'returnEmbeddings' functionality and related code
- Update test cases to use the new initialization parameter
- Ref docs and javadocs updates
This change improves API consistency across Spring AI vector stores while
preserving the same behavior in the Cassandra implementation.
Signed-off-by: Soby Chacko <soby.chacko@broadcom.com>
- Remove deprecated ChatMemory.get(String conversationId, int lastN) method
- Replace AbstractChatMemoryAdvisor with BaseChatMemoryAdvisor interface in api package
- Make constructors private in all memory advisor implementations to enforce builder usage
- Rename CHAT_MEMORY_CONVERSATION_ID_KEY to CONVERSATION_ID and move to ChatMemory interface
- In VectorStoreChatMemoryAdvisor:
- Rename DEFAULT_CHAT_MEMORY_RESPONSE_SIZE (100) to DEFAULT_TOP_K (20)
- Rename builder method chatMemoryRetrieveSize() to topK()
- Remove systemTextAdvise() builder method
- In PromptChatMemoryAdvisor:
- Remove systemTextAdvise() builder method
- Fix bug where only the last user message was stored from prompts with multiple messages
- Enhance logging in memory advisors to aid in debugging
- Add comprehensive tests for all advisor implementations:
- Unit tests for builder behavior
- Integration tests for the various chat memory advisors
Signed-off-by: Mark Pollack <mark.pollack@broadcom.com>
