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This will help you get started with ChatAbso chat models. For detailed documentation of all ChatAbso features and configurations, head to the API reference.
  • You can find the full documentation for the Abso router [here] (abso.ai)

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Overview

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Integration details

ClassPackageLocalSerializableJS supportDownloadsVersion
ChatAbsolangchain-abso❌❌❌PyPI - DownloadsPyPI - Version

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Setup

To access ChatAbso models, you’ll need to create an OpenAI account, get an API key, and install the langchain-abso integration package.

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Credentials

  • TODO: Update with relevant info.
Head to (TODO: link) to sign up for ChatAbso and generate an API key. Once you’ve done this, set the ABSO_API_KEY environment variable: 
import getpass
import os

if not os.getenv("OPENAI_API_KEY"):
    os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter your OpenAI API key: ")

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Installation

The LangChain ChatAbso integration lives in the langchain-abso package: 
pip install -qU langchain-abso

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Instantiation

Now we can instantiate our model object and generate chat completions: 
from langchain_abso import ChatAbso

llm = ChatAbso(fast_model="gpt-4o", slow_model="o3-mini")

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Invocation

messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)
ai_msg

print(ai_msg.content)

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API reference

For detailed documentation of all ChatAbso features and configurations head to the API reference: python.langchain.com/api_reference/en/latest/chat_models/langchain_abso.chat_models.ChatAbso.html
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