This commit introduces a new `spring-ai-elevenlabs` module to integrate ElevenLabs' TTS service into Spring AI.
Key Features:
- **New Module:** `spring-ai-elevenlabs` with a Spring Boot starter for auto-configuration.
- **Core Classes:**
- `ElevenLabsTextToSpeechModel`: Implements `TextToSpeechModel` and `StreamingTextToSpeechModel`.
- `ElevenLabsTextToSpeechOptions`: Configurable TTS options (voice, format, speed, etc.).
- `ElevenLabsApi` and `ElevenLabsVoicesApi`: Low-level REST clients for ElevenLabs APIs.
- DTOs: `Speech`, `TextToSpeechMessage`, `TextToSpeechPrompt`, `TextToSpeechResponse`.
- **Auto-configuration:**
- `ElevenLabsAutoConfiguration`, `ElevenLabsConnectionProperties`, and `ElevenLabsSpeechProperties`.
- **Functionality:**
- Text-to-speech conversion with ElevenLabs voices.
- Real-time streaming playback support.
- Flexible runtime configuration via properties and model options.
- **Documentation:** Updated Spring AI reference guide with usage examples.
- **Tests:** Includes unit and integration tests for both success and failure scenarios.
Note:
- Some `tts` package classes will be relocated to the `core` module to support shared TTS abstractions, including upcoming OpenAI Speech API support.
- Added metadata support to `TextToSpeechResponse`.
- Added tests and updated documentation.
Signed-off-by: Alexandros Pappas <apappascs@gmail.com>
- Update Spring Boot version to 3.5.0
- Enforce elasticsearch-java client to use the explicit version 8.18.1
- This is because of the incompatibility between Spring Boot 3.4.x and 3.5.0 in using the elastic search java client versions 8.15.1 vs 8.18.1
Signed-off-by: Ilayaperumal Gopinathan <ilayaperumal.gopinathan@broadcom.com>
Fixes: #3265
* Bump org.apache.pdfbox to 3.0.4
* Guard against empty unicode strings
Auto-cherry-pick to 1.0.x
Signed-off-by: David Frizelle <david.frizelle@gmail.com>
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Signed-off-by: David Frizelle <david.frizelle@gmail.com>
- Convert non-primitive metadata values to JSON strings in ChromaApi.AddEmbeddingsRequest for compatibility
- Add tests to verify metadata conversion and complex metadata handling in Chroma vector store integration
- Ensure OpenAiChatModel always returns annotations as a list of maps in metadata
- Add test dependency on spring-ai-advisors-vector-store for advisor-related tests
- Add json-unit-assertj for improved JSON assertions and validating JSON content in tests
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
- Rename the artifact ID of the chat memory repository artifacts:
- `spring-ai-model-chat-memory-jdbc` -> `spring-ai-model-chat-memory-repository-jdbc`
- `spring-ai-model-chat-memory-cassandra` -> `spring-ai-model-chat-memory-repository-cassandra`
- `spring-ai-model-chat-memory-neo4j` -> `spring-ai-model-chat-memory-repository-neo4j`
- Rename the package names to include "repository". Example: org.springframework.ai.chat.memory.repository.jdbc.JdbcChatMemoryRepository
- This package renaming also requires to change the default schema location for the jdbc repository to include "repository"
- Update the docs
- Update the artifact IDs in the parent POM, BOM, autoconfiguration and starters
- Update upgrade notes and docs to describe the changes
Fix JdbcChatMemoryRepositoryPostgresqlIT
- Make sure to set the dialect via datasource
Signed-off-by: Ilayaperumal Gopinathan <ilayaperumal.gopinathan@broadcom.com>
- Rename chat memory repository autoconfiguration modules to include the "repository" suffix:
- spring-ai-autoconfigure-model-chat-memory-cassandra -> spring-ai-autoconfigure-model-chat-memory-repository-cassandra
- spring-ai-autoconfigure-model-chat-memory-jdbc -> spring-ai-autoconfigure-model-chat-memory-repository-jdbc
- spring-ai-autoconfigure-model-chat-memory-neo4j -> spring-ai-autoconfigure-model-chat-memory-repository-neo4j
- Update Spring Boot starter modules to match the new naming convention.
- Rename packages to include `.repository.` for improved clarity and consistency.
- Rename configuration and related classes to use the `ChatMemoryRepository` suffix.
- Update Spring AI BOM and parent POM files to reference the new artifact names.
- Update all imports, references, and configuration to use the new package and class names.
BREAKING CHANGE:
These changes require users to update their dependencies, imports, and configuration to use the new artifact, package, and class names. See the upgrade notes for migration instructions.
Signed-off-by: Ilayaperumal Gopinathan <ilayaperumal.gopinathan@broadcom.com>
- Add remaining deepseek modules
- Fix build order to put autoconfig modules after model modules to fix javadoc build
Signed-off-by: GR <gr@fastball.dev>
- Comment out AsyncCompletionSpecification and SyncCompletionSpecification imports
- Comment out completion parameters and processing in both sync and async server creation methods
- Downgrade MCP SDK version from 0.10.0-SNAPSHOT to 0.9.0
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
Add support for completion specifications in both sync and async MCP servers by:
- Adding parameters for SyncCompletionSpecification and AsyncCompletionSpecification
- Implementing registration of completion specifications in server builders
- Updating capabilities builders to include completions
- Upgrading MCP SDK version to 0.10.0-SNAPSHOT
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
* ChatMemory will become a generic interface to implement different memory management strategies. It’s been moved from the “”spring-ai-client-chat” package to “spring-ai-model” package while retaining the same package, so it’s transparent to users.
* A MessageWindowChatMemory has been introduced to provide support for a chat memory that keeps at most N messages in the memory.
* A ChatMemoryRepository interface has been introduced to support different storage strategies for the chat memory. It’s meant to be used as part of a ChatMemory implementation. This is different than before, where the storage-specific implementation was directly tied to the ChatMemory. This design is familiar to Spring users since it’s used already in the ecosystem. The goal was to use a programming model similar to Spring Session and Spring Data.
* The JdbcChatMemory has been supersed by JdbcChatMemoryRepository.
* A ChatMemory bean is auto-configured for you whenever using one of the Spring AI Model starters. By default, it uses the MessageWindowChatMemory implementation and stores the conversation history in memory. If a different repository is already configured (e.g., Cassandra, JDBC, or Neo4j), Spring AI will use that instead.
* First-class documentation has been introduced to describe the ChatMemory API and related features.
* All the changes introduced in this PR are backward-compatible.
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
- Introduce new TemplateRenderer API providing the logic for rendering an input template.
- Update the PromptTemplate API to accept a TemplateRenderer object at construction time.
- Move ST logic to StTemplateRenderer implementation, used by default in PromptTemplate. Additionally, make start and end delimiter character configurable.
Relates to gh-2655
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
Update multiple dependency versions including:
- Milvus from 2.5.4 to 2.5.7
- Azure Search from 11.6.1 to 11.7.6
- Weaviate client from 5.0.1 to 5.2.0
- Typesense from 0.5.0 to 1.3.0 (with matching code update)
- OpenSearch client from 2.10.1 to 2.23.0
- MariaDB from 3.5.1 to 3.5.3
- Couchbase from 3.7.8 to 3.8.0
- Neo4j Cypher DSL from 2024.0.2 to 2024.5.1
- Jedis from 5.1.0 to 5.2.0
Updates TypesenseVectorStore to use IndexAction enum instead of string literal.
Signed-off-by: Soby Chacko <soby.chacko@broadcom.com>
Adjust MergeUtils to accommodate API changes:
- Update ChatCompletions constructor parameter list to remove the usage argument
- Move usage assignment to post-construction via reflection
Signed-off-by: Soby Chacko <soby.chacko@broadcom.com>
- Update MCP SDK version to 0.9.0
- Add baseUrl and sseEndpoint properties to McpServerProperties
- Update WebFlux and WebMvc server transport providers to use new URL configuration properties
- Remove deprecated backward compatibility code and related tests
- Remove deprecated methods from McpToolUtils
- Update MCP SDK version to 0.9.0-SNAPSHOT
- Add tool filtering capability to MCP Tool Callback Providers
Introduces a BiPredicate-based filtering mechanism for both Sync and Async
MCP Tool Callback Providers, allowing selective tool discovery based on
custom criteria. This enables filtering tools by name, client, or
any combination of properties.
* Apply filter in getToolCallbacks() methods for both providers
* Add tests for various filtering scenarios
- Add utility method to retrieve MCP exchange from tool context
* Add constant TOOL_CONTEXT_MCP_EXCHANGE_KEY to replace hardcoded exchange string
* Implement getMcpExchange utility method to safely retrieve the MCP exchange object
Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
- Avoid overlapping package names
Changed in spring-ai-commons package from org.sf.ai.model to org.sf.ai.content
Refactor advisor module name to be spring-ai-advisors-vector-store
Moved advisors into org.springframework.ai.chat.client.advisor.vectorstore
- Created top level memory directory
- Create new module spring-ai-model-chat-memory-neo4j and moved neo4j memory classes out of the vectorstore module
Updated neo4j autoconfiguation
