fix(cli): Improve cli wrapper and fix init command behavior

[creatorrr]

• refactor(agents-api): Refactor text_to_tsquery -> text_to_keywords
• feat(agents-api,migrations): Add trigram search to FTS
• fix(agents-api): Remove too-long magic number
• fix(agents-api): Renamed confusing is_conversation_snippet flag
• fix(cli): Improve cli wrapper and fix init command behavior

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EntelligenceAI PR Summary

Purpose:

• Enhance full-text search and improve CLI modularity and usability.

Changes:

• Enhancement: Refined keyword extraction in NLP for better search.
• New Feature: Added template selection in CLI init command.
• Refactor: Reorganized imports for improved code clarity.
• Style: Implemented a new custom prompt style in CLI.

Impact:

• Streamlined CLI experience, improved search features, and increased code manageability.

[entelligence-ai-pr-reviews]

Walkthrough

This PR enhances the NLP module by refining keyword extraction functions and introducing a new parameter for improved full-text search capabilities. The CLI has been refactored for better modularity, including new utility functions, a custom prompt style, and template selection support in the init command. Import reorganization across various files improves code clarity.

Changes

File(s)	Summary
agents-api/agents_api/common/nlp.py	Refactored text_to_tsvector_query to text_to_keywords, changing return type to a set for keyword extraction. Updated keyword filtering logic.
agents-api/agents_api/common/utils/get_doc_search.py	Added extract_keywords parameter to get_search_fn_and_params for enhanced keyword extraction.
cli/src/julep_cli/init.py	Enhanced init command with template selection and improved error handling.
cli/src/julep_cli/style.py	Introduced custom style for CLI prompts.
cli/src/julep_cli/templates.py	Added template fetching logic from GitHub repository.

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[entelligence-ai-pr-reviews]

Filtering keywords with len(kw) > 1 after extraction could return fewer keywords than min_keywords, making the minimum check ineffective. Move length check before the minimum check.

📝 Committable Code Suggestion

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Suggested change

	keywords = extract_keywords(sent_doc, top_n, split_chunks=split_chunks)
	keywords = [kw for kw in keywords if len(kw) > 1]
	if len(keywords) < min_keywords:
	continue
	keywords = [kw for kw in extract_keywords(sent_doc, top_n, split_chunks=split_chunks) if len(kw) > 1]
	if len(keywords) < min_keywords:
	continue