feat(weave): Implement integration with Huggingface inference client

[soumik12345]

Description

Implement autopatch integration with 🤗 inference client (continuing from #2795).

Examples

LLMs

import os
import weave
from huggingface_hub import InferenceClient


weave.init("test-huggingface")
client = InferenceClient(api_key=os.getenv("HUGGINGFACE_API_KEY"))

image_url = "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
client.chat_completion(
    model="meta-llama/Llama-3.2-11B-Vision-Instruct",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "image_url", "image_url": {"url": image_url}},
                {"type": "text", "text": "Describe this image in one sentence."},
            ],
        }
    ],
    max_tokens=500,
)

Sample trace

Image generation

import os
import weave
from huggingface_hub import InferenceClient

weave.init("test-huggingface")
InferenceClient(api_key=os.getenv("HUGGINGFACE_API_KEY")).text_to_image(
    prompt="A cute puppy",
    model="black-forest-labs/FLUX.1-schnell",
    num_inference_steps=4,
)

Sample trace

[circle-job-mirror]

Preview this PR with FeatureBee: https://beta.wandb.ai/?betaVersion=6c33ba93bc3376329d3c176c4c598ae9df739112

[soumik12345]

Hi @tssweeney, this PR is ready for review.

[tssweeney]

🔥 you da boss!