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@ -15,7 +15,16 @@ DEFAULT_HEADERS = {
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class LLMRequestsChain(Chain):
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"""Chain that requests a URL and then uses an LLM to parse results."""
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"""Chain that requests a URL and then uses an LLM to parse results.
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**Security Note**: This chain can make GET requests to arbitrary URLs,
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including internal URLs.
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Control access to who can run this chain and what network access
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this chain has.
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See https://python.langchain.com/docs/security for more information.
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"""
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llm_chain: LLMChain
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requests_wrapper: TextRequestsWrapper = Field(
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@ -16,6 +16,19 @@ from langchain.schema.language_model import BaseLanguageModel
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class NatBotChain(Chain):
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"""Implement an LLM driven browser.
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**Security Note**: This toolkit provides code to control a web-browser.
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The web-browser can be used to navigate to:
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- Any URL (including any internal network URLs)
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- And local files
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Exercise care if exposing this chain to end-users. Control who is able to
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access and use this chain, and isolate the network access of the server
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that hosts this chain.
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See https://python.langchain.com/docs/security for more information.
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Example:
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.. code-block:: python
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@ -49,7 +49,22 @@ class ElementInViewPort(TypedDict):
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class Crawler:
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"""A crawler for web pages."""
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"""A crawler for web pages.
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**Security Note**: This is an implementation of a crawler that uses a browser via
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Playwright.
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This crawler can be used to load arbitrary webpages INCLUDING content
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from the local file system.
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Control access to who can submit crawling requests and what network access
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the crawler has.
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Make sure to scope permissions to the minimal permissions necessary for
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the application.
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See https://python.langchain.com/docs/security for more information.
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"""
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def __init__(self) -> None:
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try:
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@ -33,6 +33,21 @@ def create_sql_query_chain(
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) -> Runnable[Union[SQLInput, SQLInputWithTables], str]:
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"""Create a chain that generates SQL queries.
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*Security Note*: This chain generates SQL queries for the given database.
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The SQLDatabase class provides a get_table_info method that can be used
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to get column information as well as sample data from the table.
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To mitigate risk of leaking sensitive data, limit permissions
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to read and scope to the tables that are needed.
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Optionally, use the SQLInputWithTables input type to specify which tables
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are allowed to be accessed.
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Control access to who can submit requests to this chain.
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See https://python.langchain.com/docs/security for more information.
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Args:
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llm: The language model to use
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db: The SQLDatabase to generate the query for
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