🔄 KaibanJS v0.20.0 – LangChain Upgrade (Core + Tools)

🌟 Highlight: LangChain Dependencies Upgraded in Core & Tools

We’ve upgraded all @langchain dependencies in both the core of KaibanJS and the tools package.
This ensures: - Full compatibility with the latest LangChain APIs - Better performance and stability across all agent workflows - Access to new features and configuration options in model orchestration

📦 What’s New

⬆️ LangChain Upgrade (Core + Tools)

• Updated @langchain packages in the KaibanJS core and tools package
• Full alignment with LangChain’s latest capabilities for tool usage, model configuration, and orchestration

🧰 Tools Enhancements

• Refactored import paths in tool stories for cleaner architecture
• Improved llmConfig flexibility with support for new parameters
• Minor improvements to JSON parsing for better error handling

📚 Documentation Updates

• Expanded tools/README.md with:
• Clear installation instructions
• Build steps and contributor guidelines

🐛 Bug Fix

• [#230] Agent fails to parse Google LLM responses when using outputSchema in Task config
  Agents now properly parse structured output from Google LLMs when a schema is defined.

⚠️ Disclaimer for Custom Tooling & LLM Instances

If you're using custom tools or custom LLMInstances, please review and test your implementations.
The updated LangChain dependencies include internal changes that may affect: - Tool and agent execution behavior - Output formatting and schema parsing - LLM config defaults and parameter handling