langchain-nativ

LangChain integration for Nativ — AI-powered localization.

Give any LangChain agent the ability to translate text, search translation memory, manage terminology, and more — all backed by your team's brand voice and style guides.

Installation

pip install langchain-nativ

Quick start

from langchain_nativ import NativTranslateTool

tool = NativTranslateTool()  # reads NATIV_API_KEY from env

result = tool.invoke({
    "text": "Hello world",
    "target_language": "French",
})
print(result)
# Bonjour le monde
# Rationale: Standard greeting translated with neutral register.

Use with a LangChain agent

from langchain_nativ import NativToolkit
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

tools = NativToolkit().get_tools()
llm = ChatOpenAI(model="gpt-4o")
agent = create_react_agent(llm, tools)

result = agent.invoke({
    "messages": [{
        "role": "user",
        "content": "Translate 'Welcome back!' to French, German, and Japanese",
    }]
})

Available tools

Configuration

All tools accept api_key and base_url parameters:

tool = NativTranslateTool(api_key="nativ_...", base_url="https://api.usenativ.com")

Or set the environment variable:

export NATIV_API_KEY=nativ_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Use individual tools

from langchain_nativ import NativSearchTranslationMemoryTool

search = NativSearchTranslationMemoryTool()
print(search.invoke({"query": "Welcome"}))
# Found 3 match(es):
# - [98% exact] "Welcome" → "Bienvenue"
# - [85% fuzzy] "Welcome back" → "Content de vous revoir"
# ...

License

MIT