Instructions to use apus-ailab/APUS-Reflex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-Reflex with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-Reflex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,339 Bytes
5c6d744 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | """English customer-support examples using the official TypeSafe Python SDK."""
import argparse
import os
from typesafe_sdk import Choice, Noul, RetryPolicy, Score, TypeSafeClient
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--base-url", default="http://127.0.0.1:30013")
parser.add_argument("--model", default="APUS-OpenJev-v1-9B")
parser.add_argument("--effort", choices=["low", "high"], default="high")
args = parser.parse_args()
with TypeSafeClient(
base_url=args.base_url,
api_key=os.environ["JEV_API_KEY"],
model=args.model,
retry=RetryPolicy(max_retries=0),
) as client:
print(client.models.list().model_dump_json(indent=2))
result = client.system_one(
state={
"customer_message": "My order arrived damaged yesterday. I would like a refund.",
"policy": "A damaged item reported within 30 days is eligible for a refund.",
},
questions={
"support_queue": Choice(
instructions="Choose the team that should handle this ticket.",
criteria={
"returns": "Damaged items, returns, and refunds",
"billing": "Invoice or payment issues",
"shipping": "Tracking and delivery updates",
},
),
"refund_eligible": Noul(
instructions="Does the stated policy make this customer eligible for a refund?"
),
"urgency": Score(
instructions="Rate the urgency of this support ticket.",
criteria=[
"Routine question",
"Customer needs timely assistance",
"Immediate safety or security risk",
],
),
},
extra_body={"effort": args.effort},
)
print(result.model_dump_json(indent=2))
print("Effort:", result.raw_http_response.headers.get("x-openjev-effort"))
print(
"Configured execution layers:",
result.raw_http_response.headers.get("x-openjev-executed-layers"),
)
if __name__ == "__main__":
main()
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