Create hf_client.py
Browse files- hf_client.py +32 -0
hf_client.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
---
|
| 3 |
+
|
| 4 |
+
### hf_client.py
|
| 5 |
+
```python
|
| 6 |
+
from huggingface_hub import InferenceClient, HfApi
|
| 7 |
+
from tavily import TavilyClient
|
| 8 |
+
|
| 9 |
+
# HF Inference Client
|
| 10 |
+
HF_TOKEN = os.getenv('HF_TOKEN')
|
| 11 |
+
if not HF_TOKEN:
|
| 12 |
+
raise RuntimeError("HF_TOKEN environment variable is not set. Please set it to your Hugging Face API token.")
|
| 13 |
+
|
| 14 |
+
def get_inference_client(model_id, provider="auto"):
|
| 15 |
+
"""Return an InferenceClient with provider based on model_id and user selection."""
|
| 16 |
+
if model_id == "moonshotai/Kimi-K2-Instruct":
|
| 17 |
+
provider = "groq"
|
| 18 |
+
return InferenceClient(
|
| 19 |
+
provider=provider,
|
| 20 |
+
api_key=HF_TOKEN,
|
| 21 |
+
bill_to="huggingface"
|
| 22 |
+
)
|
| 23 |
+
|
| 24 |
+
# Tavily Search Client
|
| 25 |
+
TAVILY_API_KEY = os.getenv('TAVILY_API_KEY')
|
| 26 |
+
tavily_client = None
|
| 27 |
+
if TAVILY_API_KEY:
|
| 28 |
+
try:
|
| 29 |
+
tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
|
| 30 |
+
except Exception as e:
|
| 31 |
+
print(f"Failed to initialize Tavily client: {e}")
|
| 32 |
+
tavily_client = None
|