reminix-langgraph 0.0.1

Reminix adapter for LangGraph

reminix-langgraph

Reminix Runtime adapter for LangGraph. Deploy any LangGraph agent as a REST API.

Installation

pip install reminix-langgraph

This will also install reminix-runtime as a dependency.

Quick Start

from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
from reminix_langgraph import wrap
from reminix_runtime import serve

# Create a LangGraph agent
llm = ChatOpenAI(model="gpt-4o")
graph = create_react_agent(llm, tools=[])

# Wrap it with the Reminix adapter
agent = wrap(graph, name="my-agent")

# Serve it as a REST API
serve([agent], port=8080)

Your agent is now available at:

• POST /agents/my-agent/invoke - Stateless invocation
• POST /agents/my-agent/chat - Conversational chat

API Reference

wrap(graph, name)

Wrap a LangGraph compiled graph for use with Reminix Runtime.

Parameter	Type	Default	Description
graph	CompiledGraph	required	A LangGraph compiled graph
name	str	"langgraph-agent"	Name for the agent (used in URL path)

Returns: LangGraphAdapter - A Reminix adapter instance

How It Works

LangGraph uses a state-based approach. The adapter:

1. Converts incoming messages to LangChain message format
2. Invokes the graph with {"messages": [...]}
3. Extracts the last AI message from the response
4. Returns it in the Reminix response format

Endpoint Input/Output Formats

POST /agents/{name}/invoke

Stateless invocation. Input is passed directly to the graph.

Request:

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

Response:

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

POST /agents/{name}/chat

Conversational chat with message history.

Request:

{
  "messages": [
    {"role": "user", "content": "What is the capital of France?"}
  ]
}

Response:

{
  "output": "The capital of France is Paris.",
  "messages": [
    {"role": "user", "content": "What is the capital of France?"},
    {"role": "assistant", "content": "The capital of France is Paris."}
  ]
}

Runtime Documentation

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

Links

• GitHub Repository
• LangGraph Documentation

License

Apache-2.0