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langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.2
langchain-community==0.2.3
langchain-community==0.2.4
langchain-community==0.2.5
langchain-community==0.2.6
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.2
langchain-core==0.2.2rc1
langchain-core==0.2.3
langchain-core==0.2.4
langchain-core==0.2.5
langchain-core==0.2.6
langchain-core==0.2.7
langchain-core==0.2.8
langchain-core==0.2.9
langchain-couchbase==0.0.1
langchain-exa==0.1.0
langchain-experimental==0.0.58
langchain-experimental==0.0.59
langchain-experimental==0.0.60
langchain-experimental==0.0.61
langchain-experimental==0.0.62
langchain-fireworks==0.1.3
langchain-groq==0.1.4
langchain-groq==0.1.5
langchain-huggingface==0.0.1
langchain-huggingface==0.0.2
langchain-huggingface==0.0.3
langchain-ibm==0.1.5
langchain-ibm==0.1.6
langchain-ibm==0.1.7
langchain-milvus==0.1.0
langchain-milvus==0.1.1
langchain-mistralai==0.1.6
langchain-mistralai==0.1.7
langchain-mistralai==0.1.8
langchain-mongodb==0.1.4
langchain-mongodb==0.1.5
langchain-mongodb==0.1.6
langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-openai==0.1.10
langchain-openai==0.1.11
langchain-openai==0.1.5
langchain-openai==0.1.6
langchain-openai==0.1.7
langchain-openai==0.1.8
langchain-openai==0.1.8rc1
langchain-openai==0.1.9
langchain-pinecone==0.1.1
langchain-prompty==0.0.1
langchain-prompty==0.0.2
langchain-qdrant==0.0.1
langchain-qdrant==0.1.0
langchain-qdrant==0.1.1
langchain-robocorp==0.0.6
langchain-robocorp==0.0.7
langchain-robocorp==0.0.8
langchain-robocorp==0.0.9
langchain-robocorp==0.0.9.post1
langchain-text-splitters==0.0.2
langchain-text-splitters==0.2.0
langchain-text-splitters==0.2.1
langchain-text-splitters==0.2.2
langchain-together==0.1.1
langchain-together==0.1.2
langchain-together==0.1.3
langchain-upstage==0.1.4
langchain-upstage==0.1.5
langchain-voyageai==0.1.1
langchain==0.1.17
langchain==0.1.19
langchain==0.1.20
langchain==0.2.0
langchain==0.2.0rc1
langchain==0.2.0rc2
langchain==0.2.1
langchain==0.2.2
langchain==0.2.3
langchain==0.2.4
langchain==0.2.5
langchain==0.2.6
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${ noResults }
Liu Xiaodong
3b473d10f2
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>
|
2 months ago | |
|---|---|---|
| .. | ||
| langchain_experimental | experimental: clean python repl input（experimental：Added code for PythonREPL） (#20930) | 2 months ago |
| scripts | infra: add print rule to ruff (#16221) | 5 months ago |
| tests | experimental: clean python repl input（experimental：Added code for PythonREPL） (#20930) | 2 months ago |
| LICENSE | Library Licenses (#13300) | 7 months ago |
| Makefile | create mypy cache dir if it doesn't exist (#14579) | 7 months ago |
| README.md | CONTRIBUTING.md Quick Start: focus on langchain core; clarify docs and experimental are separate (#10906) | 9 months ago |
| poetry.lock | experimental[patch]: Release 0.0.57 (#20243) | 3 months ago |
| poetry.toml | Harrison/move experimental (#8084) | 11 months ago |
| pyproject.toml | experimental[patch]: Release 0.0.57 (#20243) | 3 months ago |
README.md
🦜️🧪 LangChain Experimental
This package holds experimental LangChain code, intended for research and experimental uses.
[!WARNING] Portions of the code in this package may be dangerous if not properly deployed in a sandboxed environment. Please be wary of deploying experimental code to production unless you've taken appropriate precautions and have already discussed it with your security team.
Some of the code here may be marked with security notices. However, given the exploratory and experimental nature of the code in this package, the lack of a security notice on a piece of code does not mean that the code in question does not require additional security considerations in order to be safe to use.