151 lines
6.5 KiB
Python
Executable File
151 lines
6.5 KiB
Python
Executable File
#!/usr/bin/env python3
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import base64
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import urllib.request
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import urllib.error
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import json
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import sys
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import uuid
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import ssl
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ssl._create_default_https_context = ssl._create_unverified_context
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CONVERSATION_ID = "5e3fb381-ce00-76db-0c03-7757f7521af1"
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CHAT_ID = "1eaa95ea-9b73-4850-8534-d1552401513a"
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HEADERS = {
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.9",
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"authorization": "Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImtTQTY0dEFUMEx3RERELTdXbG5VRU1TQXBULXR2dl94WUtWc0lHNW1nR1kiLCJ0eXAiOiJKV1QifQ.eyJ1cG4iOiIzMDY0NDY5Yi1mM2E4LTQwOTktYThlYy00ODUwZWI2YjFkZWUiLCJpcCI6IkVudHJhSWQiLCJlbWFpbCI6Imp3dTEyMzQ0QHVtZC5lZHUiLCJ1dm8iOnsiaWQiOiIzMDY0NDY5Yi1mM2E4LTQwOTktYThlYy00ODUwZWI2YjFkZWUiLCJuIjoiSm9saWUgV3UifSwidXIiOltdLCJjYXAiOlsiYTc5YmUyMTMtMTBhZS00MWE3LWJjZmYtOTdkMmI2YmE3MDY5Il0sInYiOiIyLjI2MDUuNDQ3Mi4wIiwibmJmIjoxNzc1OTUzMjU0LCJleHAiOjE3NzU5NTUwNTQsImlhdCI6MTc3NTk1MzI1NCwiaXNzIjoiaHR0cHM6Ly9uZWJ1bGFvbmUuYWkiLCJhdWQiOiJOZWJ1bGFPbmUifQ.DiIFp_bJsPqghC5smL6KNc_vJEcpXLB97VHbU3YFciNQTsENiJ3nBUXWo7Ob36JdqYcb9pIZmnhV-IronFQwDg910jqtJ7-jM-Qdc5UbUAynU07BvCmCFrebIn45BwSMix1C-YZMEdH8hw_oAxLAIC9iK03luJAvJQbJKuENucPN3ashpL0MFRWMv2CEa0a1adRAG9SMUtM8KChbD95dqX9gKLxd6gUcnkUT24C18W904NBwDUj-q6Yq0zjEhBghAlUX_AaNH0wsfH9FTRKD_LBJ5iZ2l1aZNmsFMZC7GTUr1_tPQDp03j4__74o1fE9EGOG68j4uVvJPiXWg68UBQ",
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"content-type": "application/json",
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"cookie": "_ga=GA1.1.602107016.1755869183; _ga_0HWJZKFYZR=GS2.1.s1755881712$o2$g1$t1755883404$j59$l0$h0; nmstat=9fc3b4a6-4cfc-0e78-dc36-dacf7a9c2035; _hjSessionUser_2558111=eyJpZCI6IjFhZDBjMGU4LTA0NWUtNWQxOS1iMTQ3LWI1OTVlMzIxZjAwMiIsImNyZWF0ZWQiOjE3NzU3NzM4MDU2ODQsImV4aXN0aW5nIjpmYWxzZX0=; dtCookie=v_4_srv_9_sn_C923FD12CFA9E0718B2147BD3710C41A_perc_100000_ol_0_mul_1_app-3Af9eed1d550ab4737_1; rxVisitor=17757738068740O0ICIGCE4KHG1MJ665QAFA4SR22A0RF; rxvt=1775782042876|1775780238463; dtSa=-; dtPC=9$373815254_472h-vCQDHRKJPLNDWPEKUQMUGAPAUGKCIVKVG-0e0; _ga_E9M33B2469=GS2.1.s1775780532$o2$g0$t1775780532$j60$l0$h0",
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"origin": "https://terpai.umd.edu",
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"priority": "u=1, i",
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"referer": f"https://terpai.umd.edu/chat/{CHAT_ID}/{CONVERSATION_ID}",
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"sec-ch-ua": '"Not:A-Brand";v="99", "Google Chrome";v="145", "Chromium";v="145"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"macOS"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36",
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"x-cosmos-session-295334": "0:-1#744338",
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"x-cosmos-session-317755": "0:-1#190318",
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"x-cosmos-session-382299": "0:-1#263838",
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"x-cosmos-session-418988": "0:-1#4049357",
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"x-cosmos-session-793952": "0:-1#13795",
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"x-timezone": "America/New_York",
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}
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# The parent segment ID to chain from — update this to your latest segment
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INITIAL_PARENT_SEGMENT_ID = "849e2305-e7a8-4ad3-8d1b-acf89b39af2c"
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def send_message(message: str, conversation_id: str = CONVERSATION_ID, parent_segment_id: str = None):
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url = f"https://terpai.umd.edu/api/internal/userConversations/{conversation_id}/segments"
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body = {
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"question": message,
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"visionImageIds": [],
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"attachmentIds": [],
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"segmentTraceLogLevel": "NonPersisted",
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}
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if parent_segment_id:
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body["lineage"] = {
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"parentSegmentId": parent_segment_id,
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"lineageType": "Question"
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}
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payload = json.dumps(body).encode("utf-8")
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# Generate fresh per-request headers
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sentry_trace_id = uuid.uuid4().hex
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sentry_span_id = uuid.uuid4().hex[:16]
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headers = dict(HEADERS)
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headers["x-request-id"] = str(uuid.uuid4())
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headers["sentry-trace"] = f"{sentry_trace_id}-{sentry_span_id}-0"
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headers["baggage"] = (
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f"sentry-environment=TerpAI,sentry-release=2.2605.4472,"
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f"sentry-public_key=c41f6dfb98d5bed12037e17e78c2c5d3,"
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f"sentry-trace_id={sentry_trace_id},"
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f"sentry-org_id=4504359075840000,"
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f"sentry-sampled=false,sentry-sample_rand=0.5,sentry-sample_rate=0"
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)
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req = urllib.request.Request(url, data=payload, method="POST")
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for key, value in headers.items():
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req.add_header(key, value)
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event = None
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new_segment_id = None
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try:
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with urllib.request.urlopen(req) as response:
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while True:
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line = response.readline()
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if not line:
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break
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line = line.decode("utf-8").strip()
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if line.startswith("event: "):
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event = line[7:]
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elif line.startswith("data: "):
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raw = line[6:]
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try:
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decoded = base64.b64decode(raw).decode("utf-8")
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except Exception:
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decoded = raw
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if event == "response-updated":
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print(decoded, end="", flush=True)
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elif event == "step-update":
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print(f"\n[step: {decoded}]", file=sys.stderr)
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elif event == "conversation-and-segment-id":
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print(f"\n[IDs: {decoded}]", file=sys.stderr)
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try:
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ids = json.loads(decoded)
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# Try common key names for the segment ID
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new_segment_id = (
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ids.get("segmentId")
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or ids.get("id")
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or ids.get("segment_id")
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)
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except Exception:
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pass
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elif event == "no-more-data":
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print()
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except urllib.error.HTTPError as e:
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print(f"HTTP Error {e.code}: {e.read().decode()}", file=sys.stderr)
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except urllib.error.URLError as e:
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print(f"URL Error: {e.reason}", file=sys.stderr)
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return new_segment_id
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def main():
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print("Terp AI Chat - Type 'quit' or 'exit' to exit\n")
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last_segment_id = INITIAL_PARENT_SEGMENT_ID
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while True:
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try:
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message = input("You: ").strip()
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if message.lower() in ("quit", "exit"):
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break
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if not message:
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continue
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print("AI: ", end="", flush=True)
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new_id = send_message(message, parent_segment_id=last_segment_id)
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if new_id:
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last_segment_id = new_id
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print()
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except (KeyboardInterrupt, EOFError):
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break
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print("\nGoodbye!")
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if __name__ == "__main__":
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main() |