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feat: PromptGuard takes a list of str (#9948)

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Recently we made the decision that PromptGuard takes a list of strings
instead of a string.
@ggroode implemented the integration change.

---------

Co-authored-by: ggroode <ggroode@berkeley.edu>
Co-authored-by: ggroode <46691276+ggroode@users.noreply.github.com>
This commit is contained in:
Zizhong Zhang 2023-08-29 12:22:30 -07:00 committed by GitHub
parent ede45f535e
commit 8bd7a9d18e
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 6 additions and 8 deletions
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4
libs/langchain/langchain/llms/promptguard.py
View File

@ -90,8 +90,8 @@ class PromptGuard(LLM):
_run_manager = run_manager or CallbackManagerForLLMRun.get_noop_manager()
# sanitize the prompt by replacing the sensitive information with a placeholder
sanitize_response: pg.SanitizeResponse = pg.sanitize(prompt)
sanitized_prompt_value_str = sanitize_response.sanitized_text
sanitize_response: pg.SanitizeResponse = pg.sanitize([prompt])
sanitized_prompt_value_str = sanitize_response.sanitized_texts[0]
# TODO: Add in callbacks once child runs for LLMs are supported by LangSmith.
# call the LLM with the sanitized prompt and get the response

10
libs/langchain/langchain/utilities/promptguard.py
View File

@ -1,4 +1,3 @@
import json
from typing import Dict, Union
@ -41,9 +40,9 @@ def sanitize(
if isinstance(input, str):
# the input could be a string, so we sanitize the string
sanitize_response: pg.SanitizeResponse = pg.sanitize(input)
sanitize_response: pg.SanitizeResponse = pg.sanitize([input])
return {
"sanitized_input": sanitize_response.sanitized_text,
"sanitized_input": sanitize_response.sanitized_texts[0],
"secure_context": sanitize_response.secure_context,
}
@ -54,13 +53,12 @@ def sanitize(
# get the values from the dict
for key in input:
values.append(input[key])
input_value_str = json.dumps(values)
# sanitize the values
sanitize_values_response: pg.SanitizeResponse = pg.sanitize(input_value_str)
sanitize_values_response: pg.SanitizeResponse = pg.sanitize(values)
# reconstruct the dict with the sanitized values
sanitized_input_values = json.loads(sanitize_values_response.sanitized_text)
sanitized_input_values = sanitize_values_response.sanitized_texts
idx = 0
sanitized_input = dict()
for key in input: