Fix 1266 Allow using streaming AI Service with tools without memory

[Kugaaa]

Issue

See #1266

Change

• Add temp memory list to allow using streaming AI Service with tools without memory
• Add unit testing

General checklist

• There are no breaking changes
• I have added unit and integration tests for my change
• I have manually run all the unit and integration tests in the module I have added/changed, and they are all green
• I have manually run all the unit and integration tests in the core and main modules, and they are all green

• I have added/updated the documentation
• I have added an example in the examples repo (only for "big" features)
• I have added/updated Spring Boot starter(s) (if applicable)

Checklist for adding new model integration

• I have added my new module in the BOM

Checklist for adding new embedding store integration

• I have added a {NameOfIntegration}EmbeddingStoreIT that extends from either EmbeddingStoreIT or EmbeddingStoreWithFilteringIT
• I have added my new module in the BOM

Checklist for changing existing embedding store integration

• I have manually verified that the {NameOfIntegration}EmbeddingStore works correctly with the data persisted using the latest released version of LangChain4j

[langchain4j]

@Kugaaa thank you!

This does not seem to work as expected, I can see that should_use_tool_without_memory is failing for the second model (Mistral).

For OpenAI, it does not work properly as well:
In the first request, user message is sent.
In the second request, only assistant and tool messages are sent (user message is not sent, but should be).

[Kugaaa]

@Kugaaa thank you!

This does not seem to work as expected, I can see that should_use_tool_without_memory is failing for the second model (Mistral).

For OpenAI, it does not work properly as well: In the first request, user message is sent. In the second request, only assistant and tool messages are sent (user message is not sent, but should be).

I'll check again

[langchain4j]

@Kugaaa thank you!