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from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import requests
import os
import logging
import threading
import time
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI()
# Enable CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Allow all origins, or replace with your frontend URL
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Read OpenRouter API key from environment variable (HF Secret)
OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY")
if not OPENROUTER_API_KEY:
raise RuntimeError("OPENROUTER_API_KEY environment variable not set!")
# ---------------------------------------------------------------------------
# Global rate limiter for OpenRouter calls
#
# Free-tier OpenRouter models throttle/reject requests that arrive too close
# together. Since /classify and /explain can be hit concurrently by the
# frontend (each running in its own thread pool worker), we serialize ALL
# outbound OpenRouter calls behind a single lock and enforce a minimum gap
# between them. Whichever request arrives second simply waits its turn.
# ---------------------------------------------------------------------------
MIN_INTERVAL_SECONDS = float(os.environ.get("OPENROUTER_MIN_INTERVAL", "6.0"))
MAX_RETRIES = int(os.environ.get("OPENROUTER_MAX_RETRIES", "3"))
RETRY_BACKOFF_SECONDS = float(os.environ.get("OPENROUTER_RETRY_BACKOFF", "5.0"))
_or_lock = threading.Lock()
_last_call_time = 0.0
def _is_rate_limited(response: requests.Response) -> bool:
"""Detect a 429 whether it comes as an HTTP status or embedded in a 200 body
(OpenRouter sometimes returns 200 with {"error": {"code": 429, ...}})."""
if response.status_code == 429:
return True
try:
body = response.json()
except ValueError:
return False
return isinstance(body, dict) and body.get("error", {}).get("code") == 429
def call_openrouter(payload: dict, headers: dict, timeout: int = 20):
"""Thread-safe, rate-limited call to OpenRouter's chat completions endpoint.
- Ensures at least MIN_INTERVAL_SECONDS has elapsed since the previous
OpenRouter call (across ALL endpoints) before firing this one.
- If the provider still returns a 429 (as a status code or embedded in the
JSON body), retries with exponential backoff up to MAX_RETRIES times.
"""
global _last_call_time
url = "https://openrouter.ai/api/v1/chat/completions"
with _or_lock:
now = time.monotonic()
elapsed = now - _last_call_time
wait_for = MIN_INTERVAL_SECONDS - elapsed
if wait_for > 0:
logger.info(f"Rate limiting: waiting {wait_for:.2f}s before next OpenRouter call")
time.sleep(wait_for)
response = requests.post(url, headers=headers, json=payload, timeout=timeout)
_last_call_time = time.monotonic()
attempt = 0
while _is_rate_limited(response) and attempt < MAX_RETRIES:
backoff = RETRY_BACKOFF_SECONDS * (2 ** attempt)
logger.warning(f"OpenRouter rate limited (attempt {attempt + 1}/{MAX_RETRIES}); "
f"backing off {backoff:.1f}s before retry")
time.sleep(backoff)
response = requests.post(url, headers=headers, json=payload, timeout=timeout)
_last_call_time = time.monotonic()
attempt += 1
return response
# Request schema
class ExplainRequest(BaseModel):
message: str
label: str = None # Optional, for explanations
model_id: str = "openai/gpt-oss-120b:free" # Default model, can be overridden
@app.get("/")
def root():
return {
"status": "healthy",
"service": "Anti-Phishing Explainer",
"endpoints": {
"/explain": "POST - Generate explanation for classification",
"/classify": "POST - Classify text as Phishing or Safe",
"/health": "GET - Health check"
}
}
@app.get("/health")
def health():
return {
"status": "healthy",
"service": "explainer",
"openrouter_configured": bool(OPENROUTER_API_KEY)
}
@app.post("/explain")
def explain(req: ExplainRequest):
"""Generate a human-readable explanation for why a message was classified as Phishing or Safe"""
user_message = req.message.strip()
label = req.label.strip() if req.label else None
if not user_message or not label:
raise HTTPException(status_code=400, detail="Missing message or label")
# Updated system prompt with bullet-point format and language adaptation
system_prompt = (
"Respond using the same language as the message."
f"You are a robot that identifies phishing and safe messages. "
f"The message was classified as '{label}'. "
"Explain why this decision was made and point out any words or patterns that led to it. "
"No greetings, introductions, or closing remarks. "
"Don't restate the message or its classification. "
"Output only the explanation as bullet points. "
"Limit each bullet to 1–2 sentences. "
"Limit the number of bullets to 3-4. "
f"Message:\n\n{user_message}\n\n"
)
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json"
}
payload = {
"model": req.model_id,
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_message}
]
}
try:
logger.info(f"Calling OpenRouter /explain with model: {req.model_id}")
response = call_openrouter(payload, headers)
response.raise_for_status()
result = response.json()
# Check for OpenRouter error in response body (even with 200 status)
if "error" in result:
error_detail = result.get("error", {}).get("message", str(result.get("error")))
logger.error(f"OpenRouter returned error in /explain: {error_detail}")
logger.error(f"Full response: {result}")
raise HTTPException(status_code=500, detail=f"OpenRouter error: {error_detail}")
reply = result.get("choices", [{}])[0].get("message", {}).get("content", "").strip()
if not reply:
logger.error(f"OpenRouter returned empty response in /explain. Full result: {result}")
reply = "[No explanation returned]"
logger.info("Explanation generated successfully")
return {"reply": reply}
except requests.RequestException as e:
logger.error(f"OpenRouter network error in /explain: {e}")
raise HTTPException(status_code=500, detail=f"Error contacting OpenRouter: {e}")
except HTTPException:
raise
except Exception as e:
logger.error(f"Unexpected error in /explain: {e}")
raise HTTPException(status_code=500, detail=f"Unexpected error: {e}")
@app.post("/classify")
def classify(req: ExplainRequest):
"""Classify text as Phishing or Safe via OpenRouter"""
user_message = req.message.strip()
if not user_message:
raise HTTPException(status_code=400, detail="Missing message")
# Use provided model_id or default
model_id = req.model_id or "arcee-ai/trinity-large-preview:free"
system_prompt = (
'You are a phishing detector. Classify the text as "Phishing" or "Safe". '
'Respond ONLY with valid JSON: {"label": "Phishing"|"Safe", "confidence": <0-100 float>}. '
'No other text.'
)
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json"
}
payload = {
"model": model_id, # Use the passed model_id
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_message}
],
"temperature": 0.0,
"max_tokens": 2000 # Increased for models with extended reasoning/thinking
}
try:
logger.info(f"Calling OpenRouter /classify with model: {model_id}")
response = call_openrouter(payload, headers)
response.raise_for_status()
result = response.json()
# Check for OpenRouter error in response body (even with 200 status)
if "error" in result:
error_detail = result.get("error", {}).get("message", str(result.get("error")))
logger.error(f"OpenRouter returned error in /classify: {error_detail}")
logger.error(f"Full response: {result}")
raise HTTPException(status_code=500, detail=f"OpenRouter error: {error_detail}")
reply = result.get("choices", [{}])[0].get("message", {}).get("content", "").strip()
if not reply:
logger.warning(f"Empty content in response. Finish reason: {result.get('choices', [{}])[0].get('finish_reason')}")
# If content is empty, try to extract from reasoning or log for debugging
reasoning = result.get("choices", [{}])[0].get("message", {}).get("reasoning", "")
if reasoning:
logger.warning(f"Model has reasoning but no content. This may indicate truncation.")
logger.error(f"OpenRouter returned empty response in /classify. Full result: {result}")
raise HTTPException(status_code=500, detail="No response from OpenRouter")
logger.info(f"Classification successful with model {model_id}: {reply}")
return {"reply": reply, "status": response.status_code, "model": model_id}
except requests.RequestException as e:
logger.error(f"OpenRouter network error in /classify: {e}")
raise HTTPException(status_code=500, detail=f"Error contacting OpenRouter: {e}")
except HTTPException:
raise
except Exception as e:
logger.error(f"Unexpected error in /classify: {e}")
raise HTTPException(status_code=500, detail=f"Unexpected error: {e}")
# Optional: Run with uvicorn
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860) |