import os
from scale_gp import SGPClient
client = SGPClient(
api_key=os.environ.get("SGP_API_KEY"), # This is the default and can be omitted
)
reranking_response = client.models.rerankings.create(
model_deployment_id="model_deployment_id",
chunks=["string"],
query="query",
)
print(reranking_response.chunk_scores){
"chunk_scores": [
123
],
"tokens_used": 0
}TODO: Documentation
import os
from scale_gp import SGPClient
client = SGPClient(
api_key=os.environ.get("SGP_API_KEY"), # This is the default and can be omitted
)
reranking_response = client.models.rerankings.create(
model_deployment_id="model_deployment_id",
chunks=["string"],
query="query",
)
print(reranking_response.chunk_scores){
"chunk_scores": [
123
],
"tokens_used": 0
}Documentation Index
Fetch the complete documentation index at: https://docs.gp.scale.com/llms.txt
Use this file to discover all available pages before exploring further.