Add batch processing text embedding

[suyccc]

No description provided.

[Copilot]

Pull Request Overview

This PR introduces batch processing capabilities for text embeddings using Azure OpenAI. The new TextEmbeddingTool allows processing both single strings and lists of strings for efficient embedding generation.

• Adds a new TextEmbeddingTool class that supports both single and batch text embedding processing
• Creates configuration files and registry entries for the new tool
• Updates the module initialization to include the new TextEmbeddingTool

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 2 comments.

File	Description
src/tooluniverse/text_embedding_tool.py	Implements the main TextEmbeddingTool class with batch processing support
src/tooluniverse/default_config.py	Adds configuration path for text embedding tools
src/tooluniverse/data/text_embedding_tools.json	Defines tool schema and configuration for text embedding
src/tooluniverse/init.py	Updates module exports to include TextEmbeddingTool

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[Copilot]

Debug print statement should be removed from production code. Use proper logging instead.

[Copilot]

Duplicate validation logic. The validate_input method already handles this check, but it's not being called before run().

Suggested change

	text = arguments.get("text")
	if not text:
	return {"error": "`text` parameter is required."}
	try:
	self.validate_input(**arguments)
	except ValueError as e:
	return {"error": str(e)}
	text = arguments.get("text")