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192 lines
7.7 KiB
Python
192 lines
7.7 KiB
Python
from __future__ import annotations
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import importlib.util
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from importlib import import_module
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from . import v2 as v2
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from .auto_client import from_provider as from_provider
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from .batch import (
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BatchJob as BatchJob,
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BatchProcessor as BatchProcessor,
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BatchRequest as BatchRequest,
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)
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from .core import hooks as hooks
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from .core.client import (
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AsyncInstructor as AsyncInstructor,
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Instructor as Instructor,
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)
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from .core.patch import apatch as apatch, patch as patch
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from .distil import FinetuneFormat as FinetuneFormat, Instructions as Instructions
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from .mode import Mode as Mode
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from .utils.providers import Provider as Provider
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from .v2.core.function_calls import (
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OpenAISchema as OpenAISchema,
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ResponseSchema as ResponseSchema,
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openai_schema as openai_schema,
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response_schema as response_schema,
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)
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from .v2.core.multimodal import Audio as Audio, Image as Image
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from .v2.core.schema import (
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generate_anthropic_schema as generate_anthropic_schema,
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generate_gemini_schema as generate_gemini_schema,
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generate_openai_schema as generate_openai_schema,
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)
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from .v2.dsl import (
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CitationMixin as CitationMixin,
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IterableModel as IterableModel,
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Maybe as Maybe,
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Partial as Partial,
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)
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from .v2.providers.anthropic.client import from_anthropic as from_anthropic
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from .v2.providers.bedrock.client import from_bedrock as from_bedrock
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from .v2.providers.cerebras.client import from_cerebras as from_cerebras
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from .v2.providers.cohere.client import from_cohere as from_cohere
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from .v2.providers.fireworks.client import from_fireworks as from_fireworks
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from .v2.providers.gemini.client import from_gemini as from_gemini
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from .v2.providers.genai.client import from_genai as from_genai
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from .v2.providers.groq.client import from_groq as from_groq
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from .v2.providers.litellm.client import from_litellm as from_litellm
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from .v2.providers.mistral.client import from_mistral as from_mistral
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from .v2.providers.openai.client import (
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from_anyscale as from_anyscale,
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from_databricks as from_databricks,
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from_deepseek as from_deepseek,
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from_openai as from_openai,
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from_together as from_together,
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)
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from .v2.providers.openrouter.client import from_openrouter as from_openrouter
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from .v2.providers.perplexity.client import from_perplexity as from_perplexity
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from .v2.providers.vertexai.client import from_vertexai as from_vertexai
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from .v2.providers.writer.client import from_writer as from_writer
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from .v2.providers.xai.client import from_xai as from_xai
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from .v2.validation import (
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llm_validator as llm_validator,
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openai_moderation as openai_moderation,
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)
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__version__ = "1.15.5"
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__all__ = [
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"Instructor",
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"Image",
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"Audio",
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"from_openai",
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"from_anyscale",
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"from_together",
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"from_databricks",
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"from_deepseek",
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"from_openrouter",
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"from_litellm",
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"from_vertexai",
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"from_provider",
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"AsyncInstructor",
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"Provider",
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"ResponseSchema",
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"response_schema",
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"OpenAISchema",
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"CitationMixin",
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"IterableModel",
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"Maybe",
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"Partial",
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"openai_schema",
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"generate_openai_schema",
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"generate_anthropic_schema",
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"generate_gemini_schema",
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"Mode",
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"patch",
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"apatch",
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"FinetuneFormat",
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"Instructions",
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"BatchProcessor",
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"BatchRequest",
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"BatchJob",
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"llm_validator",
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"openai_moderation",
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"hooks",
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"v2",
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]
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_LAZY_IMPORTS: dict[str, tuple[str, str | None]] = {
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"Instructor": (".core.client", "Instructor"),
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"AsyncInstructor": (".core.client", "AsyncInstructor"),
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"from_openai": (".v2.providers.openai.client", "from_openai"),
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"from_anyscale": (".v2.providers.openai.client", "from_anyscale"),
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"from_together": (".v2.providers.openai.client", "from_together"),
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"from_databricks": (".v2.providers.openai.client", "from_databricks"),
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"from_deepseek": (".v2.providers.openai.client", "from_deepseek"),
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"from_openrouter": (".v2.providers.openrouter.client", "from_openrouter"),
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"from_litellm": (".v2.providers.litellm.client", "from_litellm"),
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"Mode": (".mode", "Mode"),
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"patch": (".core.patch", "patch"),
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"apatch": (".core.patch", "apatch"),
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"hooks": (".core.hooks", None),
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"v2": (".v2", None),
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"Image": (".v2.core.multimodal", "Image"),
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"Audio": (".v2.core.multimodal", "Audio"),
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"CitationMixin": (".v2.dsl", "CitationMixin"),
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"IterableModel": (".v2.dsl", "IterableModel"),
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"Maybe": (".v2.dsl", "Maybe"),
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"Partial": (".v2.dsl", "Partial"),
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"ResponseSchema": (".v2.core.function_calls", "ResponseSchema"),
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"response_schema": (".v2.core.function_calls", "response_schema"),
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"OpenAISchema": (".v2.core.function_calls", "OpenAISchema"),
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"openai_schema": (".v2.core.function_calls", "openai_schema"),
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"generate_openai_schema": (".v2.core.schema", "generate_openai_schema"),
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"generate_anthropic_schema": (".v2.core.schema", "generate_anthropic_schema"),
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"generate_gemini_schema": (".v2.core.schema", "generate_gemini_schema"),
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"llm_validator": (".v2.validation", "llm_validator"),
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"openai_moderation": (".v2.validation", "openai_moderation"),
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"Provider": (".utils.providers", "Provider"),
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"from_provider": (".auto_client", "from_provider"),
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"BatchProcessor": (".batch", "BatchProcessor"),
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"BatchRequest": (".batch", "BatchRequest"),
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"BatchJob": (".batch", "BatchJob"),
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"FinetuneFormat": (".distil", "FinetuneFormat"),
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"Instructions": (".distil", "Instructions"),
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"from_anthropic": (".v2.providers.anthropic.client", "from_anthropic"),
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"from_gemini": (".v2.providers.gemini.client", "from_gemini"),
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"from_fireworks": (".v2.providers.fireworks.client", "from_fireworks"),
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"from_cerebras": (".v2.providers.cerebras.client", "from_cerebras"),
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"from_groq": (".v2.providers.groq.client", "from_groq"),
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"from_mistral": (".v2.providers.mistral.client", "from_mistral"),
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"from_cohere": (".v2.providers.cohere.client", "from_cohere"),
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"from_vertexai": (".v2.providers.vertexai.client", "from_vertexai"),
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"from_bedrock": (".v2.providers.bedrock.client", "from_bedrock"),
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"from_writer": (".v2.providers.writer.client", "from_writer"),
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"from_xai": (".v2.providers.xai.client", "from_xai"),
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"from_perplexity": (".v2.providers.perplexity.client", "from_perplexity"),
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"from_genai": (".v2.providers.genai.client", "from_genai"),
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}
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def __getattr__(name: str) -> Any:
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if name not in __all__:
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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module_path, attr_name = _LAZY_IMPORTS[name]
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module = import_module(module_path, package=__name__)
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value = module if attr_name is None else getattr(module, attr_name)
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globals()[name] = value
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return value
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def _add_optional_export(name: str, *packages: str) -> None:
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if all(importlib.util.find_spec(package) is not None for package in packages):
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__all__.append(name)
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_add_optional_export("from_anthropic", "anthropic")
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_add_optional_export("from_gemini", "google", "google.generativeai")
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_add_optional_export("from_fireworks", "fireworks")
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_add_optional_export("from_cerebras", "cerebras")
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_add_optional_export("from_groq", "groq")
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_add_optional_export("from_mistral", "mistralai")
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_add_optional_export("from_cohere", "cohere")
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_add_optional_export("from_bedrock", "boto3")
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_add_optional_export("from_writer", "writerai")
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_add_optional_export("from_xai", "xai_sdk")
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_add_optional_export("from_perplexity", "openai")
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_add_optional_export("from_genai", "google", "google.genai")
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