Phi 4 Mini is optimized for use in lightweight environments, excelling at quick interactions, and constrained-resource deployments. It supports strong mathematical and logical inference, suitable for embedded applications, mobile environments, or real-time AI assistants.
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="microsoft/Phi-4-mini-instruct",
messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Tell me a joke."}],)print(response.choices[0].message.content)
