- Disable project-wide Checkstyle checks to unblock development
- Add documentation for enabling Checkstyle locally
- Fix remaining checkstyle violations in current codebase
Fixes#1669
The autoconfiguration adds the FunctionCallbacks directly to the model's ChatOptions,
which results in the FunctionCallback being included in the request each time it is called.
The modification registers the container's FunctionCallback directly to the model's functionCallbackRegister
using the parent AbstractToolCallSupport constsructor.
Replace the handleFunctionCallbackConfigurations by simplified runtimeFunctionCallbackConfigurations.
Co-authored-by Christian Tzolov <ctzolov@vmware.com>
* Move ChatClient and related classes into the chat.client package
* Move ChatModel and related class into the chat.model package
* Smaller refactorings to remove DSM cycles
* Update README.md
* Rename the ModelClient class hierarchy into Model:
- Rename ModelClient into Model. Update all code and doc references.
- Rename ChatClient to ChatModel. Update all ChatClient suffixes and chatClient fields and variables in code and doc.
- Rename EmbeddingClient into EmbeddingModel. Update the XxxEmbeddingClient class and variable suffixes and embeddingClient variables and fields in code and docs.
- Rename ImageClient into ImageModel.
- Rename SpeechClient into SpeechModel.
- Rename TranscriptionClient into TranscriptionModel.
- Update all javadocs and antora pages. Update the related diagrams.
* Create fluent API in ChatClient interface that now includes streaming support
* Add OpenAI FunctionCallbackWrapper2IT auto-config tests.
* Add ChatClientTest mockito testing.
* Add ChatModel#getDefaultOptions(), and remove @FunctionalInterface
* ChatModel enums extend the new ModelDescription interface.
* Implement fromOptions copy method in every ChatOptions implementation.
* Extend ChatClient to use the model default options if not provided explicitly.
* Update readme to provide guidance on how to adapt to breaking changes.
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
Co-authored-by: Mark Pollack <mpollack@vmware.com>
* Put creation of EvaluationRequest in ChatServiceResponse
* Add string constructor to QuestionContextAugmentor
* change vectorStore accept() usage to write()
* Add ChatBot and basic DefaultChatBot
* Add streaming ChatBot support.
* Add Evaluator interface and RelevancyEvaluator implementation
* Add Content data type abstraction for Document and Message
* Renaming and package refactoring
* update .gitignore to allow node package name
* Add List<Media> to node and move ai.transformer package to ai.prompt.transformer
* Add Short/Long term memory support.
* Add mixing transformers support
Docs TBD
* An abstract API for AI model clients
* Providing portable client request options while still allowing vendor specific options when required. Implemented only for StabilityAI/OpenAI ImageClient
* Support for text->image for openai and stabilityai.
Partial fix for #27 : Text To Image and Fixes#266 and Fixes#261
- fix all class names with AiClient or AiStreamingClient name prefixes.
- fix all variables or method name prefixes.
- fix the javadocs, readmes and refference documentation.
- Rename Generation#text to content and info to properties.
- Make Generation extend the AbstractMessage and default to ASSISTANT message type.
- Add vevertex-ai project with native api client for generation and embedding.
- Add unit and IT tests for the vertex-ai native client.
- Add AiClient and EmbeddingClient implementation for the the Vertex AI along with ITs.
* Changes dependency on spring-ai-openai to spring-ai-core as a required dependency.
* Include dependency on Jakarta Servlet API.
* Include dependency on Spring Web MVC.
* Include dependnecy on OkHttp3 MockWebServer.
* Add common AI test configuration using mock objects.
Rebase OpenAI mock test configuration on the shared components inside spring-ai-test.
* Renames OpenAiMockTestConfiguration to MockOpenAiTestConfiguration.
* Refactor MockOpenAiTestConfiguration removing mock infrastructure beans and import MockAiTestConfiguration class.
* Declare test dependency on spring-ai-test.=
* Integrate complete AI metadata implementation for Microsoft Azure OpenAI.
This new Spring @Configuration class enables AI developers to test against the AI provider's REST API by mocking Web service endpoints and returning canned AI responses.
This allows the AI provider client (Java) library to be exercised in the same manner as the production application, or even Spring AI framework code without modification.
Closes#122
- Collapses all VectorStore similiaritySearch methdos into one with SearchRequest builder.
- Fix all affected code and tests.
- Bump the project version to 0.7.1.
- Add tests
- Add autoconfigurations for milvus, pinecone and pgvecor stores.
- Improve and unify the VectorStore ITs.
- Make use of TrasformersEmbeddingClient for auto-configurations ITs.
