z z-ai-lab

Here is how to set up and run the LiteLLM Proxy with Apple Foundation Models using uv.

Run these commands in your terminal to create a dedicated environment and install the necessary dependencies:

# Create a new project directory
mkdir my-apple-proxy && cd my-apple-proxy

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duckdb -cmd "CREATE VIEW view_name AS FROM 'filename.csv';" -ui


	import re

	def camel_to_snake(input_string):
	"""
	Convert camelCase or PascalCase strings to snake_case.

	Args:
	input_string (str): The input string in camelCase or PascalCase

	from sqlalchemy.dialects import registry
	from sqlalchemy.dialects.postgresql.psycopg2 import PGDialect_psycopg2
	class RedshiftPostgresDialect(PGDialect_psycopg2):
	def _set_backslash_escapes(self, connection):
	self._backslash_escapes = "off"
	registry.register("redshift_custom", __name__, "RedshiftPostgresDialect")

	from sqlalchemy import create_engine
	db = create_engine("redshift_custom://user:password@redshifthost:5439/dev")

	system: \|
	You are a professional prompt engineer. Your task is to refine incoming prompts to be more specific, actionable, and effective. For valid prompts, follow these guidelines:

	- Clarify and make instructions unambiguous.
	- Add relevant context or constraints where appropriate.
	- Eliminate redundancy while preserving the core intent.
	- Ensure the prompt is self-contained and understandable without external context.
	- Use precise, professional language.
	- Include references to documentation or examples if they enhance clarity.

	#!/opt/miniconda3/bin/python
	import duckdb
	import glob
	import sys
	import logging
	from pathlib import Path
	from typing import Optional, Union
	import re

	# Configure logging

	import json
	import networkx as nx
	from collections import defaultdict
	from typing import Dict, Set, List

	def export_schema_to_arrows(G: nx.DiGraph) -> str:
	"""
	Export the schema of a NetworkX DiGraph to Arrows.app JSON format.
	Schema includes unique node labels and relationship types with their connections.