FluentC for LangChain.

from fluentc_langchain_tool import FluentCTranslationTool

tool = FluentCTranslationTool(api_key="your-api-key")
response = tool.run({
    "text": "Hello, world!",
    "target_language": "fr",
    "source_language": "en",
    "mode": "realtime",
})
print(response)  # "Bonjour, le monde !"

from fluentc_langchain_tool import FluentCBatchTranslationTool

tool = FluentCBatchTranslationTool(api_key="your-api-key")

result = tool.run({
    "text": "<html>Hello, batch world!</html>",
    "target_language": "de",
    "source_language": "en",
})
print(result)  # final translated output, after polling

from fluentc_langchain_tool import FluentCLanguageDetectorTool

tool = FluentCLanguageDetectorTool(api_key="your-api-key")
response = tool.run({"text": "Hola, ¿cómo estás?"})
print(response)  # Detected language: es (confidence: 0.99)

from langchain.agents import initialize_agent
from langchain.llms import OpenAI
from fluentc_langchain_tool import (
    FluentCTranslationTool,
    FluentCLanguageDetectorTool,
)

api_key = "your-api-key"

agent = initialize_agent(
    tools=[
        FluentCTranslationTool(api_key),
        FluentCLanguageDetectorTool(api_key),
    ],
    llm=OpenAI(temperature=0),
    agent="zero-shot-react-description",
)

agent.run("Translate 'Hello world' from English to German using FluentC.")