langchain/libs/community/langchain_community/agent_toolkits/nla/tool.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
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
2023-12-11 13:53:30 -08:00

59 lines
2.0 KiB
Python

"""Tool for interacting with a single API with natural language definition."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import Tool
from langchain_community.tools.openapi.utils.api_models import APIOperation
from langchain_community.tools.openapi.utils.openapi_utils import OpenAPISpec
from langchain_community.utilities.requests import Requests
if TYPE_CHECKING:
from langchain.chains.api.openapi.chain import OpenAPIEndpointChain
class NLATool(Tool):
"""Natural Language API Tool."""
@classmethod
def from_open_api_endpoint_chain(
cls, chain: OpenAPIEndpointChain, api_title: str
) -> "NLATool":
"""Convert an endpoint chain to an API endpoint tool."""
expanded_name = (
f'{api_title.replace(" ", "_")}.{chain.api_operation.operation_id}'
)
description = (
f"I'm an AI from {api_title}. Instruct what you want,"
" and I'll assist via an API with description:"
f" {chain.api_operation.description}"
)
return cls(name=expanded_name, func=chain.run, description=description)
@classmethod
def from_llm_and_method(
cls,
llm: BaseLanguageModel,
path: str,
method: str,
spec: OpenAPISpec,
requests: Optional[Requests] = None,
verbose: bool = False,
return_intermediate_steps: bool = False,
**kwargs: Any,
) -> "NLATool":
"""Instantiate the tool from the specified path and method."""
api_operation = APIOperation.from_openapi_spec(spec, path, method)
chain = OpenAPIEndpointChain.from_api_operation(
api_operation,
llm,
requests=requests,
verbose=verbose,
return_intermediate_steps=return_intermediate_steps,
**kwargs,
)
return cls.from_open_api_endpoint_chain(chain, spec.info.title)