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Liu Xiaodong 3b473d10f2 experimental: clean python repl input（experimental：Added code for PythonREPL） (#20930) ... Update python.py（experimental：Added code for PythonREPL） Added code for PythonREPL, defining a static method 'sanitize_input' that takes the string 'query' as input and returns a sanitizing string. The purpose of this method is to remove unwanted characters from the input string, Specifically: 1. Delete the whitespace at the beginning and end of the string (' \s'). 2. Remove the quotation marks (`` ` ``) at the beginning and end of the string. 3. Remove the keyword "python" at the beginning of the string (case insensitive) because the user may have typed it. This method uses regular expressions (regex) to implement sanitizing. It all started with this code： from langchain.agents import Tool from langchain_experimental.utilities import PythonREPL python_repl = PythonREPL() repl_tool = Tool( name="python_repl", description="Remove redundant formatting marks at the beginning and end of source code from input.Use a Python shell to execute python commands. If you want to see the output of a value, you should print it out with `print(...)`.", func=python_repl.run, ) When I call the agent to write a piece of code for me and execute it with the defined code, I must get an error: SyntaxError('invalid syntax', ('<string>', 1, 1,'In', 1, 2)) After checking, I found that pythonREPL has less formatting of input code than the soon-to-be deprecated pythonREPL tool, so I added this step to it, so that no matter what code I ask the agent to write for me, it can be executed smoothly and get the output result. I have tried modifying the prompt words to solve this problem before, but it did not work, and by adding a simple format check, the problem is well resolved. <img width="1271" alt="image" src="https://github.com/langchain-ai/langchain/assets/164149097/c49a685f-d246-4b11-b655-fd952fc2f04c"> --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>		5 months ago
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agents	community[patch], experimental[patch]: support tool-calling sql and p… (#20639)	5 months ago
autonomous_agents	experimental[patch]: return from HuggingGPT task executor task.run() exception (#20219)	5 months ago
chat_models	langchain: `callbacks` imports fix (#20348)	6 months ago
comprehend_moderation	langchain: `callbacks` imports fix (#20348)	6 months ago
cpal	experimental[patch]: `prompts` import fix (#20534)	5 months ago
data_anonymizer	experimental[patch]: update module doc strings (#19539)	6 months ago
fallacy_removal	experimental[patch]: `prompts` import fix (#20534)	5 months ago
generative_agents	patch: deprecate (a)get_relevant_documents (#20477)	5 months ago
graph_transformers	experimental[patch]: Add support for non-function calling LLMs in llm graph transformers (#21014)	5 months ago
llm_bash	experimental[patch]: `prompts` import fix (#20534)	5 months ago
llm_symbolic_math	experimental[patch]: `prompts` import fix (#20534)	5 months ago
llms	experimental[minor]: Add bind_tools and with_structured_output functions to OllamaFunctions (#20881)	5 months ago
open_clip	experimental[patch]: update module doc strings (#19539)	6 months ago
openai_assistant	Move OAI assistants to langchain and add callbacks (#13236)	11 months ago
pal_chain	experimental[patch]: `prompts` import fix (#20534)	5 months ago
plan_and_execute	experimental[patch]: `prompts` import fix (#20534)	5 months ago
prompt_injection_identifier	experimental[minor]: upgrade the prompt injection model (#20783)	5 months ago
prompts	experimental[patch]: `prompts` import fix (#20534)	5 months ago
pydantic_v1	`poetry lock` the experimental package. (#9478)	1 year ago
recommenders	experimental[patch]: `prompts` import fix (#20534)	5 months ago
retrievers	langchain: `callbacks` imports fix (#20348)	6 months ago
rl_chain	experimental[patch]: `prompts` import fix (#20534)	5 months ago
smart_llm	experimental[patch]: `prompts` import fix (#20534)	5 months ago
sql	experimental[patch]: `prompts` import fix (#20534)	5 months ago
synthetic_data	experimental[patch]: `prompts` import fix (#20534)	5 months ago
tabular_synthetic_data	experimental[patch]: `prompts` import fix (#20534)	5 months ago
tools	langchain: `callbacks` imports fix (#20348)	6 months ago
tot	experimental[patch]: `prompts` import fix (#20534)	5 months ago
utilities	experimental: clean python repl input（experimental：Added code for PythonREPL） (#20930)	5 months ago
video_captioning	langchain: `callbacks` imports fix (#20348)	6 months ago
__init__.py	Add version to langchain_experimental (#11613)	12 months ago
py.typed	Add `py.typed` file to `langchain-experimental`. (#9557)	1 year ago
text_splitter.py	experimental[patch]: Makes regex customizable in text_splitter.py (SemanticChunker class) (#20485)	5 months ago