GLM-4.5 is purpose built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a “thinking mode” designed for complex reasoning and tool use, and a “non-thinking mode” optimized for instant responses. Users can control the reasoning behavior with the reasoning enabled boolean.
import openai
import weave
# Weave autopatches OpenAI to log LLM calls to W&B
weave.init("/")
client = openai.OpenAI(# The custom base URL points to W&B Inference
base_url='https://api.inference.wandb.ai/v1',# Get your API key from https://wandb.ai/authorize# Consider setting it in the environment as OPENAI_API_KEY instead for safety
api_key="",# Team and project are required for usage tracking
project="/",)
response = client.chat.completions.create(
model="zai-org/GLM-4.5",
messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Tell me a joke."}],)print(response.choices[0].message.content)
