I found the .withDefaultOptions() is no longer found with new OpenAiChatClient in the 0.8 snapshot while trying out the sample code.
thank you for the hard work!
- Implemented a MediaContent abstraction within the OpenAiApi to handle text and image inputs.
- Response message content remains a plain String, ensuring backward compatibility.
- Extended the OpenAiChatClient request creation process to seamlessly map Spring AI Messages with
Media content to the low-level OpenAiApi MediaContent types.
- Added integration tests for embedded and URL images, covering both synchronous and streaming calls.
- Updated the OpenAI class diagram to reflect the new media content types provided by the OpenAI API.
- Incorporated a chapter on multi-modality within the openai-chat.adoc documentation.
- Improve the openai multimoality doc
In v0.8.1, the property spring.ai.azure.openai.chat.options.model does not exist anymore.
I have tried with spring.ai.azure.openai.chat.options.deployment-name and am able to connect to the Azure Open AI service.
Considering spring.ai.azure.openai.chat.options.deployment-name is the correct property name, I have updated the document to reflect this.
I have also removed this statement "In a subsequent release, Spring AI will rename the property spring.ai.azure.openai.chat.options.model to spring.ai.azure.openai.chat.options.deployment-name to avoid confusion." as this has already been renamed. I have added an appropriate note related to this.
@pivotal-cla This is an Obvious Fix.
Corrected the property prefix related to embeddings for Azure Open AI. The prefix had 'embeddings' in plural.
The actual prefix is spring.ai.azure.openai.embedding
- feat: setup watsonx ai api
- feat: add watsonx ai model options
- feat: setup watsonx chat client
- feat: add watsonx records/models
- add watsonx-ai module to pom
- add watsonx-ai module to bom
- feat: add connection properties watsonx
- feat: add WatsonxAiAutoConfiguration with api client
- feat: add starter watsonx.ai
- feat: add generate method in watsonx ai api
- feat: add watsonx ai api streaming generation method
- feat: add watsonx message to prompt converter util
- feat: implement call and stream mehtod
- feat: add watsonx ai runtime hints
- fix: filter null fields
- feat: watsonx options tests
- feat: add test dependencies
- feat: add runtime hints tests
- feat: add watsonx client tests
- fix: apply linter
- feat: add tests for message to prompt converter
- feat: add signature
- fix: change deprecated IamAuthenticator
- fix: do not keep baseUrl in a class variable
- fix: webClient request
- feat: add default base url to autoconfigure
- feat: add watsonx ai integration docs
- fix: model options json
- feat: add watsonx-ai spring boot starter
- feat: enable watsonx api on watsonx chat client
- fix: remove condition
- feat: add watsonx autoconfigure import
- feat: add watsonx module resource aot import
- feat: add pom for watsonx ai module
Additional pre-merge adjustments:
- Rename all WatsonxAIXxx classes to WatsonxAiXxx.
- Rename WatsonxChatClient to WatsonxAiChatClient.
- Move WatsonxAiChatOptions out of the API.
- Implement a Builder for WatsonxAiChatOptions (replace the inline withXxx code).
- Add a WatsonxAiChatOptions field to WatsonxAiChatClient as default options.
Later, it is also set by the auto-configuration properties.
- Implement merging logic for default vs runtime options in WatsonxAiChatClient.
- In Auto-config, add WatsonxAiChatProperties with enabled and options fields.
Options are passed to the client.
- Update the adoc to include the .chat.options properties.
- Add the watsonxai doc to the nav.adoc.
- Fix license headers and javadocs.
- Move dependency versioning to the parent POM.
- Implement ElasticsearchVectoSotore and IT.
- Add ElasticsearchAiSearchFilterExpressionConverter.
- Add dependency to BOM and module to parent pom.
- Fix ElasticsearchVectorStoreIT FilterExpression with
Date type requires the use of epoch milliseconds.
- Add license formatting.
- Created low-leverl anthropic messages API for Claude 3.
Use the new message API.
- Add Chat Client with tests.
- Add bedrok anthropic 3 docs.
- Add multibudality support + tests.
- Add auto-configuraiton & tests.
- Rename Athropic to Athropic3 in class names to avoid confusion with previous Bedrock Anthropic 2 impl.
This commit introduces support for the Anthropic Claude3 Message API
(https://api.anthropic.com), enabling direct interaction with its services.
This is not a Bedrock Anthropic Claude3 implemenation.
Changes include:
- Implementation of a low-level client, AnthropicApi, to interact with
the message API endpoints specified in the Anthropic documentation
(https://docs.anthropic.com/claude/reference/messages_post), including support for streaming.
- Addition of AnthropicApi tests to ensure functionality and reliability.
- Support for multimodal requests within AnthropicApi.
- Adding the spring-ai-anthropic and boot starter into BOM and parent POM modules for streamlined usage.
- Add Anthropic Auto-configuration and Boot Starter for seamless integration into existing projects.
- Implementation of AnthropicChatClient with capabilities for synchronous and streaming communication,
including support for multimodal messages.
- Inclusion of both unit and integration tests to validate functionality across various scenarios.
- Add Antora documentation with comprehensive guidance on using AnthropicApi and AnthropicChatClient.
- Add of Ahead-of-Time (AOT) hints for AnthropicApi.
- update anthropic diagram
`Reuse Container` is a Testcontainers experimental feature. It requires
`testcontainers.reuse.enable=true` in `~/.testcontainers.properties` in
order to take effect but in order to avoid surprises, this commit remove it.
See https://java.testcontainers.org/features/reuse/
- Implemented Bedrock Jurassic ChatClient
- added documentation reference
- implement auto-configuration and boot starter
- Disable the BedrockAi21Jurassic2ChatClientIT.emojiPenaltyWhenTrueByDefaultApplyPenaltyTest() test
as it fails when run in combination with the other tests.
- Add VectorSearchAggregation used to actually preform the search
on a given collection with embeddings.
- add MongoDBVectorStore
- Add MongoDBVectorStoreIT. Integration test runs fine given...
- You have a mongo atlas cluster to connect to (local or remote)
- You have the search index "spring_ai_vector_search" setup correctly
- Need to explore getting around this
- Need to filter results using threshold
- Add postfilter for threshold values - While a post filter is not ideal,
it gets the job done. The mongo team seems to be working on having
it availible as a prefilter option, in which this implementation
can be updated to use later.
- implement filtering threshold
- fix a few sonar issues
- formatting
- use higher default num_candidates
- use builder for configuration
- add documentation and some refactor
- use consistent property in integration test
- finish implementing filter support
- add documentation to filter converter
- add vector search index auto creation
- Add to BOM.
- Fix version to 1.0.0-SN.
- Move expresion converter from core to models/mongodb.
- Fix style and license headers
- tename /api/clients/ into /api/chat
- move the the image from /api/clients to /api
- fix the layout inside the chat and embeddings docs. Moving the runtime options and sample controllers at top level.
- adjust all affected links.
* Fix Typo: Duplicate 'for' in documentation text
* Fix Typo: Duplicate 'to' in documentation text
* Fix broken links in documentation
* Correct grammar by deleting unnecessary 'an' in documentation
* Fix typo: Change 'tunning' to 'tuning' in documentation
* Fix typo: Change 'an' to 'can' in documentation
* Fix typo: Change 'generats' to 'generates' in documentation
* Fix grammatical error: Change 'a AI' to 'an AI' in documentation
* Fix grammatical error: Change 'a AI' to 'an AI' in code
* Fix Typo: Duplicate 'for' in code
