langchain/libs/community/langchain_community/tools/requests/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

185 lines
6.2 KiB
Python

# flake8: noqa
"""Tools for making requests to an API endpoint."""
import json
from typing import Any, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_community.utilities.requests import TextRequestsWrapper
from langchain_core.tools import BaseTool
def _parse_input(text: str) -> Dict[str, Any]:
"""Parse the json string into a dict."""
return json.loads(text)
def _clean_url(url: str) -> str:
"""Strips quotes from the url."""
return url.strip("\"'")
class BaseRequestsTool(BaseModel):
"""Base class for requests tools."""
requests_wrapper: TextRequestsWrapper
class RequestsGetTool(BaseRequestsTool, BaseTool):
"""Tool for making a GET request to an API endpoint."""
name: str = "requests_get"
description: str = "A portal to the internet. Use this when you need to get specific content from a website. Input should be a url (i.e. https://www.google.com). The output will be the text response of the GET request."
def _run(
self, url: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
"""Run the tool."""
return self.requests_wrapper.get(_clean_url(url))
async def _arun(
self,
url: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Run the tool asynchronously."""
return await self.requests_wrapper.aget(_clean_url(url))
class RequestsPostTool(BaseRequestsTool, BaseTool):
"""Tool for making a POST request to an API endpoint."""
name: str = "requests_post"
description: str = """Use this when you want to POST to a website.
Input should be a json string with two keys: "url" and "data".
The value of "url" should be a string, and the value of "data" should be a dictionary of
key-value pairs you want to POST to the url.
Be careful to always use double quotes for strings in the json string
The output will be the text response of the POST request.
"""
def _run(
self, text: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
"""Run the tool."""
try:
data = _parse_input(text)
return self.requests_wrapper.post(_clean_url(data["url"]), data["data"])
except Exception as e:
return repr(e)
async def _arun(
self,
text: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Run the tool asynchronously."""
try:
data = _parse_input(text)
return await self.requests_wrapper.apost(
_clean_url(data["url"]), data["data"]
)
except Exception as e:
return repr(e)
class RequestsPatchTool(BaseRequestsTool, BaseTool):
"""Tool for making a PATCH request to an API endpoint."""
name: str = "requests_patch"
description: str = """Use this when you want to PATCH to a website.
Input should be a json string with two keys: "url" and "data".
The value of "url" should be a string, and the value of "data" should be a dictionary of
key-value pairs you want to PATCH to the url.
Be careful to always use double quotes for strings in the json string
The output will be the text response of the PATCH request.
"""
def _run(
self, text: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
"""Run the tool."""
try:
data = _parse_input(text)
return self.requests_wrapper.patch(_clean_url(data["url"]), data["data"])
except Exception as e:
return repr(e)
async def _arun(
self,
text: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Run the tool asynchronously."""
try:
data = _parse_input(text)
return await self.requests_wrapper.apatch(
_clean_url(data["url"]), data["data"]
)
except Exception as e:
return repr(e)
class RequestsPutTool(BaseRequestsTool, BaseTool):
"""Tool for making a PUT request to an API endpoint."""
name: str = "requests_put"
description: str = """Use this when you want to PUT to a website.
Input should be a json string with two keys: "url" and "data".
The value of "url" should be a string, and the value of "data" should be a dictionary of
key-value pairs you want to PUT to the url.
Be careful to always use double quotes for strings in the json string.
The output will be the text response of the PUT request.
"""
def _run(
self, text: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
"""Run the tool."""
try:
data = _parse_input(text)
return self.requests_wrapper.put(_clean_url(data["url"]), data["data"])
except Exception as e:
return repr(e)
async def _arun(
self,
text: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Run the tool asynchronously."""
try:
data = _parse_input(text)
return await self.requests_wrapper.aput(
_clean_url(data["url"]), data["data"]
)
except Exception as e:
return repr(e)
class RequestsDeleteTool(BaseRequestsTool, BaseTool):
"""Tool for making a DELETE request to an API endpoint."""
name: str = "requests_delete"
description: str = "A portal to the internet. Use this when you need to make a DELETE request to a URL. Input should be a specific url, and the output will be the text response of the DELETE request."
def _run(
self,
url: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Run the tool."""
return self.requests_wrapper.delete(_clean_url(url))
async def _arun(
self,
url: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Run the tool asynchronously."""
return await self.requests_wrapper.adelete(_clean_url(url))