Context OS

import hashlib, os, time, requests

KEY  = os.environ["SENSO_KEY"]
BASE = "https://apiv2.senso.ai/api/v1"
HDR  = {"X-API-Key": KEY, "Content-Type": "application/json"}

# 1 ── Upload a file
file_bytes = open("refund-policy.pdf", "rb").read()
resp = requests.post(f"{BASE}/org/kb/upload", headers=HDR, json={
    "files": [{
        "filename":         "refund-policy.pdf",
        "file_size_bytes":  len(file_bytes),
        "content_type":     "application/pdf",
        "content_hash_md5": hashlib.md5(file_bytes).hexdigest(),
    }]
})
upload = resp.json()["results"][0]
requests.put(upload["upload_url"], data=file_bytes)

# 2 ── Wait for indexing
while True:
    item = requests.get(
        f"{BASE}/org/content/{upload['content_id']}",
        headers={"X-API-Key": KEY},
    ).json()
    if item["processing_status"] == "complete":
        break
    time.sleep(1)

# 3 ── Search
answer = requests.post(f"{BASE}/org/search", headers=HDR, json={
    "query": "What is the refund policy?",
    "max_results": 3,
}).json()

print(answer["answer"])
for r in answer["results"]:
    print(f"  [{r['score']:.2f}] {r['title']}")