mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
"""Tool for interacting with a single API with natural language definition."""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any, Optional
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from langchain_core.language_models import BaseLanguageModel
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from langchain_core.tools import Tool
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from langchain_community.tools.openapi.utils.api_models import APIOperation
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from langchain_community.tools.openapi.utils.openapi_utils import OpenAPISpec
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from langchain_community.utilities.requests import Requests
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if TYPE_CHECKING:
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from langchain.chains.api.openapi.chain import OpenAPIEndpointChain
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class NLATool(Tool):
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"""Natural Language API Tool."""
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@classmethod
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def from_open_api_endpoint_chain(
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cls, chain: OpenAPIEndpointChain, api_title: str
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) -> "NLATool":
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"""Convert an endpoint chain to an API endpoint tool."""
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expanded_name = (
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f'{api_title.replace(" ", "_")}.{chain.api_operation.operation_id}'
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)
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description = (
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f"I'm an AI from {api_title}. Instruct what you want,"
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" and I'll assist via an API with description:"
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f" {chain.api_operation.description}"
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)
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return cls(name=expanded_name, func=chain.run, description=description)
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@classmethod
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def from_llm_and_method(
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cls,
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llm: BaseLanguageModel,
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path: str,
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method: str,
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spec: OpenAPISpec,
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requests: Optional[Requests] = None,
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verbose: bool = False,
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return_intermediate_steps: bool = False,
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**kwargs: Any,
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) -> "NLATool":
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"""Instantiate the tool from the specified path and method."""
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api_operation = APIOperation.from_openapi_spec(spec, path, method)
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chain = OpenAPIEndpointChain.from_api_operation(
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api_operation,
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llm,
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requests=requests,
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verbose=verbose,
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return_intermediate_steps=return_intermediate_steps,
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**kwargs,
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)
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return cls.from_open_api_endpoint_chain(chain, spec.info.title)
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