ChatChatAbso

This will help you getting started with ChatAbso chat models. For detailed documentation of all ChatChatAbso features and configurations head to the API reference.

• You can find the full documentation for the Abso router [here] (https://abso.ai)

Overview

Integration details

Class	Package	Local	Serializable	JS support	Package downloads	Package latest
ChatChatAbso	langchain-abso	❌	❌	❌

Setup

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

Credentials

• TODO: Update with relevant info.

Head to (TODO: link) to sign up to 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: ")

Installation

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

%pip install -qU langchain-abso

Instantiation

Now we can instantiate our model object and generate chat completions:

from langchain_abso import ChatChatAbso

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

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)

Chaining

We can chain our model with a prompt template like so:

from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate(
    [
        (
            "system",
            "You are a helpful assistant that translates {input_language} to {output_language}.",
        ),
        ("human", "{input}"),
    ]
)

chain = prompt | llm
chain.invoke(
    {
        "input_language": "English",
        "output_language": "German",
        "input": "I love programming.",
    }
)

API Reference:ChatPromptTemplate

API reference

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