fix: #1140
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## Issue
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## Change
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fix: #1147
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## Issue
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https://github.com/langchain4j/langchain4j/issues/1147
## Change
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It seems that Qwen's online tokenizer service doesn't support strings
made up of whitespace characters.
Workaround: when the input is detected to be a string composed of
whitespace characters, add a character to the end of the string before
calling the API. Then, subtract 1 from the result returned by the API to
get the final result.
Additionally, the same test case has been added to
OpenAiTokenizerTest.java.
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## Issue
https://github.com/langchain4j/langchain4j/issues/951
## Change
- ```QianfanChatModel``` support proxy now
- ```QianfanEmbeddingModel``` support proxy now
- ```QianfanLanguageModel``` support proxy now
- ```QianfanStreamingChatModel``` support proxy now
## General checklist
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Co-authored-by: jianye.zheng <jianye.zheng@xuncetech.com>
## Issue
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example: https://github.com/langchain4j/langchain4j/issues/1012 -->
#1088
## Change
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Add ZhipuAi image model implementation `ZhipuAiImageModel`
Add ZhipuAi image model unit tests `ZhipuAiImageModelIT`
## General checklist
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## Issue
This PR add supports for Azure Cosmos DB for NoSQL embedding store.
## Change
- This PR adds an embedding store for Azure Cosmos DB for NoSql. The
test cases and IT test case is also included.
## General checklist
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## Context
Fix: #950
## Checklist
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are green
Hi @langchain4j
Yesterday Mistral AI released a new open source model that supports all
the features known so far.
I added tests and updated code to support it.
Documentation update coming in this
[PR#979](https://github.com/langchain4j/langchain4j/pull/979)
GPT-4o on Azure OpenAI was announced at Build yesterday, and it's
already working with LangChain4J!
This shows that the current code works with GPT-4o (all integration
tests are green on my side), with 2 downsides for the moment:
- It's not available in the Sweden Central region, which I typically use
as there are more models there: this is why I'm using East US, and had
to remove GPT 3.5 Turbo which isn't available there (then, GPT-4o
basically replaces both GPT 3.5 Turbo and GPT 4, so it makes sense)
- The CLI commands in the `deploy-azure-openai-models.sh` script
currently complains that the API version isn't correct, as it's not
updated yet. It should be super soon, and otherwise the trick is to
create it using the Azure AI Studio.
Those 2 issues should be very temporary.
Module added according #973 in order to minimize conflicts.
Implementation in line with cohere reranking
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## Issue
https://github.com/langchain4j/langchain4j/issues/974
## Change
- Adding Jina ai as a scoring model.
- Default model: jina-reranker-v1-base-en
- Default url: https://api.jina.ai/v1/
- Used Jackson object mapper instead of Gson, as I found it it's
langchain4j intent to move away from Gson
- Tried to keep implementation in line with Cohere reranking module
## General checklist
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[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
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"big" features)
## Checklist for adding new model integration
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- [x] I have added my new module in the
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---------
Co-authored-by: Kevin Smeyers <kevin.smeyers@audlau.be>
Co-authored-by: LangChain4j <langchain4j@gmail.com>
## Issue
https://github.com/langchain4j/langchain4j/issues/199
## Change
- Added `ModelListener`, `ChatLanguageModelRequest`, and
`ChatLanguageModelResponse` that are compatible (have all the required
attributes) with [OTEL LLM semconv
draft](https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/llm-spans.md).
- Added an option to attach multiple
`ModelListener<ChatLanguageModelRequest, ChatLanguageModelResponse>` to
`OpenAiChatModel` and `OpenAiStreamingChatModel` (pilot module).
### `ChatLanguageModelRequest`
```java
public class ChatLanguageModelRequest {
private final String model;
private final Double temperature;
private final Double topP;
private final Integer maxTokens;
private final List<ChatMessage> messages;
private final List<ToolSpecification> toolSpecifications;
}
```
### `ChatLanguageModelResponse`
```java
public class ChatLanguageModelResponse {
private final String id;
private final String model;
private final TokenUsage tokenUsage;
private final FinishReason finishReason;
private final AiMessage aiMessage;
}
```
## Example
```java
ModelListener<ChatLanguageModelRequest, ChatLanguageModelResponse> modelListener =
new ModelListener<ChatLanguageModelRequest, ChatLanguageModelResponse>() {
@Override
public void onRequest(ChatLanguageModelRequest request) {
// handle request
}
@Override
public void onResponse(ChatLanguageModelResponse response, ChatLanguageModelRequest request) {
// handle response
}
@Override
public void onError(Throwable error, ChatLanguageModelResponse response, ChatLanguageModelRequest request) {
// handle error
}
};
OpenAiChatModel model = OpenAiChatModel.builder()
.apiKey(...)
.listeners(singletonList(modelListener))
.build();
```
## General checklist
- [X] There are no breaking changes
- [X] I have added unit and integration tests for my change
- [X] I have manually run all the unit and integration tests in the
module I have added/changed, and they are all green
- [X] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
- [ ] I have added/updated the
[documentation](https://github.com/langchain4j/langchain4j/tree/main/docs/docs)
- [ ] I have added an example in the [examples
repo](https://github.com/langchain4j/langchain4j-examples) (only for
"big" features)
- support system instructions
- support parallel function calling
- should avoid the allocation issue faced sometimes because of the
lifecycle of the underlying VertexAI client object
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## Issue
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example: https://github.com/langchain4j/langchain4j/issues/1012 -->
None - just a doc issue
## Change
<!-- Please describe the changes you made. -->
The current getting started only shows using an integrations specific
library. At least for the Ollama integration, there are no Services in
the integration jar. A user needs to add the core jar but this is not
mentioned in any docs I could find.
It is demonstrated in the tutorials under the examples repo.
https://github.com/langchain4j/langchain4j-examples/blob/main/tutorials/pom.xml
## General checklist
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"big" features)
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## Issue
Related to https://github.com/langchain4j/langchain4j/issues/1066
## Change
Move judge0 code execution engine package from `dev.langchain4j.code` to
`dev.langchain4j.code.judge0`
## General checklist
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and
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## Checklist for adding new embedding store integration
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## Issue
https://github.com/langchain4j/langchain4j/issues/232
## Change
An experimental `SqlDatabaseContentRetriever` has been added.
Simplest usage example:
```java
ContentRetriever contentRetriever = SqlDatabaseContentRetriever.builder()
.dataSource(dataSource)
.chatLanguageModel(openAiChatModel)
.build();
```
In this case SQL dialect and table structure will be determined from the
`DataSource`.
But it can be customized:
```java
ContentRetriever contentRetriever = SqlDatabaseContentRetriever.builder()
.dataSource(dataSource)
.sqlDialect("PostgreSQL")
.databaseStructure(...)
.promptTemplate(...)
.chatLanguageModel(openAiChatModel)
.maxRetries(2)
.build();
```
See `SqlDatabaseContentRetrieverIT` for a full example.
## General checklist
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- [X] I have added unit and integration tests for my change
- [X] I have manually run all the unit and integration tests in the
module I have added/changed, and they are all green
- [X] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
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"big" features)
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## Issue
Fix#935
## Change
Replaced `TokenUsage.add(TokanUsage)` with static
`TokenUsage.sum(TokanUsage, TokanUsage)` to better handle cases when one
of the `TokanUsage` is absent (null).
## General checklist
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- [X] I have added unit and integration tests for my change
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module I have added/changed, and they are all green
- [X] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
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repo](https://github.com/langchain4j/langchain4j-examples) (only for
"big" features)
I've adding two missing artefacts in the BOM (azure-ai-search and
azure-cosmos-mongo-vcore). And to make it easier to spot, I've sorted
the `pom.xml` files by artifact id
Fixes#1124
This pull request addresses the issue of query metadata being lost
during passing it through the `CompressingQueryTransformer` and
`ExpandingQueryTransformer`.
## Issue
https://github.com/langchain4j/langchain4j/issues/1048
## Change
I extract these classes as new module
`langchain4j-code-execution-engine-judge0` :
- `Judge0JavaScriptEngine`
- `JavaScriptCodeFixer`
- `Judge0JavaScriptExecutionTool`
- `JavaScriptCodeFixerTest`
and I moved the `com.squareup.okhttp3:okhttp` dependency from the main
module to that new one.
## General checklist
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] There are no breaking changes
- [x] I have added unit and integration tests for my change
- [x] I have manually run all the unit and integration tests in the
module I have added/changed, and they are all green
- [x] I have manually run all the unit and integration tests in the
[core](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-core)
and
[main](https://github.com/langchain4j/langchain4j/tree/main/langchain4j)
modules, and they are all green
<!-- Before adding documentation and example(s) (below), please wait
until the PR is reviewed and approved. -->
- [x] I have added/updated the
[documentation](https://github.com/langchain4j/langchain4j/tree/main/docs/docs)
- [x] I have added an example in the [examples
repo](https://github.com/langchain4j/langchain4j-examples) (only for
"big" features)
## Checklist for adding new model integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)
## Checklist for adding new embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] I have added a `{NameOfIntegration}EmbeddingStoreIT` that extends
from either `EmbeddingStoreIT` or `EmbeddingStoreWithFilteringIT`
- [x] I have added my new module in the
[BOM](https://github.com/langchain4j/langchain4j/blob/main/langchain4j-bom/pom.xml)
## Checklist for changing existing embedding store integration
<!-- Please double-check the following points and mark them like this:
[X] -->
- [x] I have manually verified that the
`{NameOfIntegration}EmbeddingStore` works correctly with the data
persisted using the latest released version of LangChain4j
LangChain4j