langchain-xynq

LangChain / LangGraph integration for XYNQ — decentralized, OpenAI-compatible inference.

pip install langchain-xynq

Quick start

import os

os.environ["XYNQ_API_KEY"] = "xynq_sk_..."  # or export in your shell

from langchain_xynq import ChatXYNQ

llm = ChatXYNQ.smart(temperature=0.7)
print(llm.invoke("Explain backpropagation in two sentences.").content)

Get a key at xynq.ai → Account (1M free tokens/month).

API

ChatXYNQ

Drop-in ChatOpenAI subclass with XYNQ defaults:

from langchain_xynq import ChatXYNQ, FAST_MODEL, SMART_MODEL

fast = ChatXYNQ.fast()           # xynq-1
smart = ChatXYNQ.smart()         # xynq-glm-5.2
custom = ChatXYNQ(model="xynq-qwen-3.5-27b", temperature=0)

Streaming works like any LangChain model:

for chunk in ChatXYNQ.smart().stream("Count to five."):
    print(chunk.content or "", end="", flush=True)

LangGraph

Use ChatXYNQ anywhere you would use ChatOpenAI:

from langgraph.prebuilt import create_react_agent
from langchain_xynq import ChatXYNQ

agent = create_react_agent(ChatXYNQ.smart(), tools=[...])
agent.invoke({"messages": [("user", "Hello")]})

Runnable examples: examples/langgraph-xynq/

Models

Node / TypeScript

Use @xynqai/langchain for the JavaScript equivalent.

Related

• XYNQ API reference
• @xynqai/plugin-eliza — ElizaOS integration
• @xynqai/cli — terminal client

License

MIT