reminix-langchain 0.0.20

Reminix agents for LangChain - serve AI agents as REST APIs

reminix-langchain

Reminix agent for LangChain. Serve any LangChain runnable as a REST API.

Ready to go live? Deploy to Reminix Cloud for zero-config hosting, or self-host on your own infrastructure.

Installation

pip install reminix-langchain

This will also install reminix-runtime as a dependency.

Quick Start

from langchain_openai import ChatOpenAI
from reminix_langchain import LangChainChatAgent
from reminix_runtime import serve

llm = ChatOpenAI(model="gpt-4o")
agent = LangChainChatAgent(llm, name="my-chatbot")
serve(agents=[agent])

Your agent is now available at:

• POST /agents/my-chatbot/invoke - Execute the agent

API Reference

LangChainChatAgent(runnable, *, name, description, instructions, tags, metadata)

Create a LangChain chat agent.

Parameter	Type	Default	Description
runnable	Runnable	required	Any LangChain runnable (LLM, chain, agent, etc.)
name	str	"langchain-agent"	Name for the agent (used in URL path)
description	str	"langchain chat agent"	Description shown in agent metadata
instructions	str	None	System instructions prepended to messages
tags	list[str]	None	Tags for categorizing/filtering agents
metadata	dict	None	Custom metadata merged into agent info

Returns: LangChainChatAgent - A Reminix agent instance

Example with a Chain

from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
from reminix_langchain import LangChainChatAgent
from reminix_runtime import serve

# Create a chain
prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful assistant."),
    ("human", "{input}")
])
llm = ChatOpenAI(model="gpt-4o")
chain = prompt | llm

# Create and serve
agent = LangChainChatAgent(chain, name="my-chain")
serve(agents=[agent])

Endpoint Input/Output Formats

POST /agents/{name}/invoke

Execute the agent with a prompt or messages.

Request with prompt:

{
  "input": {
    "prompt": "Summarize this text: ..."
  }
}

Request with messages:

{
  "input": {
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }
}

Response:

{
  "output": "Hello! How can I help you today?"
}

Streaming

For streaming responses, set stream: true in the request:

{
  "input": {
    "prompt": "Tell me a story"
  },
  "stream": true
}

The response will be sent as Server-Sent Events (SSE).

Runtime Documentation

For information about the server, endpoints, request/response formats, and more, see the reminix-runtime package.

Deployment

Ready to go live?

• Deploy to Reminix Cloud - Zero-config cloud hosting
• Self-host - Run on your own infrastructure

Links

• GitHub Repository
• LangChain Documentation

License

Apache-2.0