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🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 chore(chains.mdx): update verbose parameter description to improve clarity 🔧 chore(chains.mdx): fix formatting and indentation for better code readability 🔧 📝 chore(docs): update import statements for Admonition component in examples 📝 chore(docs): update link in Prompts component to use Admonition component 📝 chore(docs): update import statements for Admonition component in examples 📝 chore(docs): update link in Conversation Chain component to use Admonition component 📝 chore(docs): update import statements for Admonition component in examples 📝 chore(docs): update link in CSV Loader component to use Admonition component 📝 chore(docs): update import statements for Admonition component in examples 📝 chore(docs): update link in MidJourney Prompt Chain component to use Admonition component 📝 chore(docs): update import statements for Admonition component in examples 📝 chore(docs): update link in Multiple Vector Stores component to use Admonition component 📝 docs(examples/python-function.mdx): add import statement for Admonition component 📝 docs(examples/python-function.mdx): improve readability of tip admonition by breaking lines 📝 docs(examples/python-function.mdx): improve readability of info admonition by breaking lines 📝 docs(examples/serp-api-tool.mdx): add import statement for Admonition component 📝 docs(examples/serp-api-tool.mdx): improve readability of info admonition by breaking lines 📝 docs(guidelines/features.mdx): add import statement for Admonition component 📝 docs(guidelines/features.mdx): improve readability of caution admonition by breaking lines
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1.7 KiB
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55 lines
1.7 KiB
Text
import Admonition from "@theme/Admonition";
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# Python Function
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Langflow allows you to create a customized tool using the `PythonFunction` connected to a `Tool` component. In this example, Regex is used in Python to validate a pattern.
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```python
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import re
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def is_brazilian_zipcode(zipcode: str) -> bool:
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pattern = r"\d{5}-?\d{3}"
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# Check if the zip code matches the pattern
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if re.match(pattern, zipcode):
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return True
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return False
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```
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<Admonition type="tip">
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When a tool is called, it is often desirable to have its output returned
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directly to the user. You can do this by setting the **return_direct** flag
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for a tool to be True.
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</Admonition>
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The `AgentInitializer` component is a quick way to construct an agent from the model and tools.
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<Admonition type="info">
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The `PythonFunction` is a custom component that uses the LangChain 🦜🔗 tool
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decorator. Learn more about it
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[here](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools).
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</Admonition>
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## ⛓️ Langflow Example
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import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: "img/python-function.png",
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}}
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/>
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#### <a target="\_blank" href="json_files/Python_Function.json" download>Download Flow</a>
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<Admonition type="note" title="LangChain Components 🦜🔗">
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- [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools)
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- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
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- [`AgentInitializer`](https://python.langchain.com/docs/modules/agents/)
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</Admonition>
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