Implement Threat Intelligence dashboard and capture session/client identity
Browse files- src/api/routes/check.py +6 -0
- src/api/routes/graph.py +112 -13
- src/api/routes/proxy.py +8 -1
- src/db/mongo.py +2 -0
src/api/routes/check.py
CHANGED
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@@ -45,6 +45,10 @@ async def check_prompt(
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app_ctx = body.app_context if body.app_context != "general" else key_doc.get("app_context", "general")
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canary_token = body.custom_canary or key_doc.get("custom_canary", None)
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# Pre-pipeline check: Graph Replay Cache
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normalized_hash = hash_normalized_prompt(body.prompt)
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raw_hash = hash_prompt(body.prompt)
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@@ -117,6 +121,8 @@ async def check_prompt(
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"request_id": result.request_id,
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"api_key_id": str(key_doc["_id"]),
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"user_id": key_doc.get("user_id"),
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"timestamp": datetime.now(timezone.utc),
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"prompt_hash": raw_hash,
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"prompt_length": len(body.prompt),
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app_ctx = body.app_context if body.app_context != "general" else key_doc.get("app_context", "general")
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canary_token = body.custom_canary or key_doc.get("custom_canary", None)
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# Capture session and client identity (never store raw prompt)
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session_id = request.headers.get("X-Session-ID") or str(uuid.uuid4())
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client_ip = request.headers.get("X-Forwarded-For", request.client.host if request.client else "unknown").split(",")[0].strip()
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# Pre-pipeline check: Graph Replay Cache
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normalized_hash = hash_normalized_prompt(body.prompt)
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raw_hash = hash_prompt(body.prompt)
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"request_id": result.request_id,
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"api_key_id": str(key_doc["_id"]),
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"user_id": key_doc.get("user_id"),
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"session_id": session_id,
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"client_ip": client_ip,
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"timestamp": datetime.now(timezone.utc),
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"prompt_hash": raw_hash,
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"prompt_length": len(body.prompt),
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src/api/routes/graph.py
CHANGED
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@@ -10,6 +10,8 @@ from fastapi import APIRouter, Depends, HTTPException
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from src.api.auth_middleware import validate_user_token
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from src.db.neo4j_client import get_driver, is_connected
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logger = logging.getLogger("llm_firewall.routes.graph")
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@@ -38,12 +40,12 @@ async def get_graph_stats(current_user: dict = Depends(validate_user_token)):
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try:
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async with driver.session() as session:
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-
# Query 1:
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q1 = """
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MATCH (
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RETURN
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ORDER BY weight DESC LIMIT
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"""
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result1 = await session.run(q1)
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async for record in result1:
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@@ -83,17 +85,18 @@ async def get_graph_stats(current_user: dict = Depends(validate_user_token)):
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"times_seen": record["times_seen"]
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})
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# Query 4:
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q4 = """
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MATCH (k:ApiKey)-[:
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RETURN
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ORDER BY
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"""
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result4 = await session.run(q4)
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async for record in result4:
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provider_targeting.append({
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"
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"
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})
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except Exception as e:
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@@ -103,9 +106,105 @@ async def get_graph_stats(current_user: dict = Depends(validate_user_token)):
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return {
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"status": "ok",
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"data": {
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-
"
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"layer_bypass": layer_bypass,
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"top_replayed": top_replayed,
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-
"
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}
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}
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from src.api.auth_middleware import validate_user_token
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from src.db.neo4j_client import get_driver, is_connected
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from src.db import mongo
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from datetime import datetime, timezone, timedelta
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logger = logging.getLogger("llm_firewall.routes.graph")
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try:
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async with driver.session() as session:
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# Query 1: Force Graph Data (API Key -> Attack Type)
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q1 = """
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MATCH (k:ApiKey)-[:TRIGGERED]->(a:AttackType)
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WITH k, a, COUNT(*) as weight
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RETURN k.key_id AS source, a.name AS target, weight
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ORDER BY weight DESC LIMIT 50
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"""
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result1 = await session.run(q1)
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async for record in result1:
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"times_seen": record["times_seen"]
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})
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# Query 4: API Key Breakdown
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q4 = """
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MATCH (k:ApiKey)-[:TRIGGERED]->(a:AttackType)
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RETURN k.key_id AS key_id, a.name AS attack_type, COUNT(a) AS attack_count
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ORDER BY attack_count DESC
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"""
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result4 = await session.run(q4)
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async for record in result4:
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provider_targeting.append({
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"key_id": record["key_id"],
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"attack_type": record["attack_type"],
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"attack_count": record["attack_count"]
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})
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except Exception as e:
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return {
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"status": "ok",
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"data": {
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"force_graph": co_occurrence,
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"layer_bypass": layer_bypass,
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"top_replayed": top_replayed,
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"api_key_breakdown": provider_targeting
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}
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}
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@router.get("/velocity")
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async def get_threat_velocity(current_user: dict = Depends(validate_user_token)):
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"""
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Get attacks per minute for the last 60 minutes, split by API Key.
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Queries MongoDB logs.
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"""
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logs = mongo.get_logs_collection()
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now = datetime.now(timezone.utc)
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sixty_mins_ago = now - timedelta(minutes=60)
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pipeline = [
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{"$match": {"user_id": current_user["_id"], "timestamp": {"$gte": sixty_mins_ago}, "safe": False}},
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{
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"$group": {
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"_id": {
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"minute": {"$minute": "$timestamp"},
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"hour": {"$hour": "$timestamp"},
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"day": {"$dayOfMonth": "$timestamp"},
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"api_key": "$api_key_id"
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},
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"count": {"$sum": 1}
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}
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},
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{"$sort": {"_id.day": 1, "_id.hour": 1, "_id.minute": 1}}
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]
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velocity_data = []
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async for doc in logs.aggregate(pipeline):
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# Format a simple HH:MM string for the frontend
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time_str = f"{doc['_id']['hour']:02d}:{doc['_id']['minute']:02d}"
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velocity_data.append({
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"time": time_str,
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"api_key": doc["_id"]["api_key"],
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"count": doc["count"]
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})
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return {"status": "ok", "data": velocity_data}
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@router.get("/session-chains")
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async def get_session_chains(current_user: dict = Depends(validate_user_token)):
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"""
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Get top 20 suspicious sessions and their request sequence (attack chains).
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"""
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logs = mongo.get_logs_collection()
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# We find sessions that have at least one blocked request, or sort by most requests
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pipeline = [
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{"$match": {"user_id": current_user["_id"]}},
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{
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"$group": {
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"_id": "$session_id",
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"total_requests": {"$sum": 1},
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"blocked_count": {"$sum": {"$cond": [{"$eq": ["$safe", False]}, 1, 0]}},
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"max_risk": {"$max": "$risk_score"},
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"events": {
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"$push": {
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"safe": "$safe",
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"risk_score": "$risk_score",
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"attack_type": "$attack_type",
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"flagged_layer": "$flagged_layer",
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"timestamp": "$timestamp"
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}
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}
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}
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},
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# Calculate threat score: (blocked / total) * max_risk
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{
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"$addFields": {
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"threat_score": {
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"$multiply": [
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{"$divide": ["$blocked_count", "$total_requests"]},
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"$max_risk"
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]
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}
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}
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},
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{"$sort": {"threat_score": -1}},
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{"$limit": 20}
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]
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sessions = []
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async for doc in logs.aggregate(pipeline):
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# Format timestamps
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for ev in doc["events"]:
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ev["timestamp"] = ev["timestamp"].isoformat()
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sessions.append({
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"session_id": str(doc["_id"]) if doc["_id"] else "unknown",
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"total_requests": doc["total_requests"],
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"blocked_count": doc["blocked_count"],
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"max_risk": doc["max_risk"],
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"threat_score": doc["threat_score"],
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"events": doc["events"]
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})
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return {"status": "ok", "data": sessions}
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src/api/routes/proxy.py
CHANGED
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@@ -77,7 +77,12 @@ async def proxy_llm_request(
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pipeline = request.app.state.pipeline
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app_ctx = key_doc.get("app_context", "general")
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canary_token = key_doc.get("custom_canary", None)
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-
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normalized_hash = hash_normalized_prompt(prompt)
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raw_hash = hash_prompt(prompt)
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graph_replay_hit = False
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@@ -150,6 +155,8 @@ async def proxy_llm_request(
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log_entry = {
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"request_id": result.request_id,
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"api_key_id": str(key_doc["_id"]),
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"timestamp": datetime.now(timezone.utc),
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"prompt_hash": raw_hash,
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"prompt_length": len(prompt),
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pipeline = request.app.state.pipeline
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app_ctx = key_doc.get("app_context", "general")
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canary_token = key_doc.get("custom_canary", None)
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# Capture session and client identity (never store raw prompt)
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import uuid as _uuid
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session_id = request.headers.get("X-Session-ID") or str(_uuid.uuid4())
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client_ip = request.headers.get("X-Forwarded-For", request.client.host if request.client else "unknown").split(",")[0].strip()
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normalized_hash = hash_normalized_prompt(prompt)
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raw_hash = hash_prompt(prompt)
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graph_replay_hit = False
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log_entry = {
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"request_id": result.request_id,
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"api_key_id": str(key_doc["_id"]),
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"session_id": session_id,
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"client_ip": client_ip,
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"timestamp": datetime.now(timezone.utc),
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"prompt_hash": raw_hash,
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"prompt_length": len(prompt),
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src/db/mongo.py
CHANGED
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@@ -48,6 +48,8 @@ async def _create_indexes(db: AsyncIOMotorDatabase) -> None:
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await logs.create_index("timestamp")
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await logs.create_index("api_key_id")
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await logs.create_index("user_id")
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await logs.create_index("safe")
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await logs.create_index("attack_type")
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await logs.create_index("provider")
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await logs.create_index("timestamp")
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await logs.create_index("api_key_id")
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await logs.create_index("user_id")
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await logs.create_index("session_id")
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await logs.create_index("client_ip")
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await logs.create_index("safe")
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await logs.create_index("attack_type")
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await logs.create_index("provider")
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