🚀 Open Source Contributions

Implemented intelligent truncation of error messages in Arrow conversion warnings to reduce log noise while preserving debugging information. Used constants and refactored tests with pytest.mark.parametrize for maintainability.

Added clear, actionable error messages when LlamaTokenizer fails due to missing optional dependencies (mistral-common). Replaced cryptic 'TypeError' with helpful ValueError guiding users to install required packages.

Enabled ChatPromptTemplate serialization by removing NotImplementedError and allowing inheritance of parent class functionality. Ensured compatibility with existing test suite.

Corrected broken navigation links in documentation from deprecated /tool-integrations/ path to /integration/ path, ensuring users can access tool integration guides properly.

Enhanced error messaging for missing LLM client dependencies (OpenAI, Anthropic, Azure, Ollama) with specific pip install commands, reducing user frustration and improving onboarding experience.