aops 0.2.1

LangChain integration library for AOps

aops

LangChain integration library for AOps — load and version-control your agent prompts from the AOps backend.

Installation

pip install aops

Quick Start

import aops
from aops.langchain import pull
from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.output_parsers import StrOutputParser
from langchain_openai import ChatOpenAI

aops.init(api_key="aops_...")

prompt = pull("my-agent/my-chain")

chain = (
    ChatPromptTemplate.from_messages([
        prompt,
        HumanMessagePromptTemplate.from_template("{user_input}"),
    ])
    | ChatOpenAI(model="gpt-4o-mini")
    | StrOutputParser()
)

result = chain.invoke({"user_input": "Hello!"})

Requirements

• Python 3.12+
• AOps backend running (self-hosted)
• API key issued from the AOps UI: Agent detail page → API Keys → New API Key

Docs

• Configuration — API key, aops.init(), environment variables
• API Reference — pull(), @chain_prompt function & class decorators
• Live Updates — polling, pattern selection guide

License

MIT