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88 lines
2.2 KiB
Python
88 lines
2.2 KiB
Python
"""Utility modules for instructor library.
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This package contains utility functions organized by provider and functionality.
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"""
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# Re-export everything from core
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from .core import (
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extract_json_from_codeblock,
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extract_json_from_stream,
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extract_json_from_stream_async,
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update_total_usage,
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extract_messages,
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dump_message,
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is_async,
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merge_consecutive_messages,
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classproperty,
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get_message_content,
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disable_pydantic_error_url,
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is_typed_dict,
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is_simple_type,
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prepare_response_model,
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)
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# Re-export from providers
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from .providers import Provider, get_provider
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__all__ = [
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# Core functions
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"extract_json_from_codeblock",
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"extract_json_from_stream",
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"extract_json_from_stream_async",
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"update_total_usage",
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"extract_messages",
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"dump_message",
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"is_async",
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"merge_consecutive_messages",
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"classproperty",
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"get_message_content",
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"disable_pydantic_error_url",
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"is_typed_dict",
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"is_simple_type",
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"prepare_response_model",
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# Provider functions
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"Provider",
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"get_provider",
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# Gemini utils
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"transform_to_gemini_prompt",
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"verify_no_unions",
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"map_to_gemini_function_schema",
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"update_genai_kwargs",
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"update_gemini_kwargs",
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"extract_genai_system_message",
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"convert_to_genai_messages",
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# Anthropic utils
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"SystemMessage",
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"combine_system_messages",
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"extract_system_messages",
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]
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# Lazy imports for backward compatibility to avoid circular imports
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def __getattr__(name):
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# Gemini utils
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if name in [
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"transform_to_gemini_prompt",
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"verify_no_unions",
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"map_to_gemini_function_schema",
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"update_genai_kwargs",
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"update_gemini_kwargs",
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"extract_genai_system_message",
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"convert_to_genai_messages",
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]:
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from ..v2.providers.gemini import utils as gemini_utils
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return getattr(gemini_utils, name)
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# Anthropic utils
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if name in [
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"SystemMessage",
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"combine_system_messages",
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"extract_system_messages",
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]:
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from ..v2.providers.anthropic import handlers as anthropic_utils
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return getattr(anthropic_utils, name)
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raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
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