langchain-wzrd 0.2.0

WZRD velocity-aware model selection and inference tools for LangChain.

langchain-wzrd

LangChain tools for WZRD velocity signals. Real-time model selection across 100+ LLMs.

Install

pip install langchain-wzrd

Tools

WzrdModelPicker (free, zero config)

Returns the best model for a task based on live adoption velocity.

from langchain_wzrd import WzrdModelPicker
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI

tools = [WzrdModelPicker()]
llm = ChatOpenAI(model="gpt-4o-mini")
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION)
agent.run("What's the best model for code generation right now?")

With LangGraph:

from langchain_wzrd import WzrdModelPicker
from langgraph.prebuilt import create_react_agent

tools = [WzrdModelPicker()]
agent = create_react_agent(llm, tools)
result = agent.invoke({"messages": [("user", "Which model has the most momentum?")]})

WzrdInference (paid, requires API key)

Runs inference through WZRD's oracle. Auto-selects the top velocity model if none specified.

from langchain_wzrd import WzrdInference

tools = [WzrdInference(api_key="your-key")]
# or set WZRD_API_KEY env var and use WzrdInference() with no args

ChatWZRD (velocity-routed ChatModel)

Drop-in ChatModel that auto-routes every call to the top velocity model.

from langchain_wzrd import ChatWZRD

llm = ChatWZRD(task="code", openai_api_key="sk-or-...")
response = llm.invoke("Write a Python sort function")

How it works

Signals are cached for 60s. The free momentum endpoint requires no auth. Models are ranked by a composite of trend direction, velocity score, and confidence.