reminix-langgraph 0.0.20

Reminix agents for LangGraph - serve AI agents as REST APIs

reminix-langgraph

Reminix agents for LangGraph. Serve any LangGraph agent 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-langgraph

This will also install reminix-runtime as a dependency.

Quick Start

Thread Agent (chat-style)

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

llm = ChatOpenAI(model="gpt-4o")
graph = create_react_agent(llm, tools=[])
agent = LangGraphThreadAgent(graph, name="my-agent")
serve(agents=[agent])

Workflow Agent (multi-step with interrupt/resume)

from reminix_langgraph import LangGraphWorkflowAgent
from reminix_runtime import serve

graph = build_workflow_graph()  # your LangGraph compiled graph
agent = LangGraphWorkflowAgent(graph, name="my-workflow")
serve(agents=[agent])

Your agent is now available at:

• POST /agents/{name}/invoke - Execute the agent

API Reference

LangGraphThreadAgent(graph, *, name, description, instructions, tags, metadata)

Create a LangGraph thread agent for chat-style interactions.

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

The thread agent:

1. Converts incoming messages to LangChain message format
2. Prepends a SystemMessage if instructions is set
3. Invokes the graph with {"messages": [...]}
4. Extracts the last AI message from the response
5. Returns it in the Reminix response format

LangGraphWorkflowAgent(graph, *, name, description, instructions, tags, metadata)

Create a LangGraph workflow agent for multi-step execution with interrupt/resume support.

Parameter	Type	Default	Description
graph	CompiledGraph	required	A LangGraph compiled graph
name	str	"langgraph-workflow-agent"	Name for the agent (used in URL path)
description	str	"langgraph workflow agent"	Description shown in agent metadata
instructions	str	None	Stored in metadata (not injected into graph execution)
tags	list[str]	None	Tags for categorizing/filtering agents
metadata	dict	None	Custom metadata merged into agent info

Returns: LangGraphWorkflowAgent - A Reminix workflow agent instance

The workflow agent:

1. Streams the graph and collects per-node outputs as steps
2. Maps GraphInterrupt to pendingAction with status "paused"
3. Accepts resume input to continue interrupted graphs via Command
4. Returns structured {status, steps, result?, pendingAction?} output

Endpoint Input/Output Formats

Thread Agent — POST /agents/{name}/invoke

Request:

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

Response:

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

Workflow Agent — POST /agents/{name}/invoke

Request:

{
  "input": {"task": "process data"}
}

Response:

{
  "output": {
    "status": "completed",
    "steps": [
      {"name": "fetch_data", "status": "completed", "output": {"records": 10}},
      {"name": "process", "status": "completed", "output": {"summary": "done"}}
    ],
    "result": {"summary": "done"}
  }
}

Resume a paused workflow:

{
  "input": {
    "task": "process data",
    "resume": {"step": "approve", "input": {"approved": true}}
  }
}

Streaming

For streaming responses (thread agent only), set stream: true in the request:

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

License

Apache-2.0