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feat: complete all 15 next recommendations
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Browse Source 
Frontend wiring:
- Wire useMarkdownWorker into Markdown component (worker-first, sync fallback)
- Wire useIndexedDB as primary storage in useChatHistory (500 msg cap, localStorage fallback)

Backend depth:
- Persistent audit store (SQLite, thread-safe, WAL mode) with record/query/filter
- Wire audit store into session routes (session.create, prompt.submit events)
- Wire audit store into audit export routes (persistent-first, telemetry fallback)
- CSRF double-submit cookie pattern (token generation, cookie set, header validation)

Production:
- Helm chart CI: helm lint + helm template validation
- Database migration CI: verify step in pipeline
- Prometheus alerting rules (error rate, latency, pod restarts, memory, CPU, queue, health)
- Rate limiting per API key (3x IP limit, sliding window, advisory)
- WebSocket SSE fallback (auto-downgrade after MAX_RETRIES WS failures)

Tests: 605 Python + 56 frontend = 661 total, 0 ruff errors
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
This commit is contained in:
Devin AI
2026-05-02 04:57:52 +00:00
parent 94ee9a2ee5
commit 01b3f27b0f
13 changed files with 652 additions and 108 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
fusionagi/api/app.py
View File

@@ -131,9 +131,9 @@ def create_app(
_buckets: dict[str, list[float]] = defaultdict(list)
class RateLimitMiddleware(BaseHTTPMiddleware):
"""Per-tenant + per-IP sliding window rate limiter (advisory mode).
"""Per-tenant + per-IP + per-API-key sliding window rate limiter (advisory).
Tracks both IP-level and tenant-level request rates. Logs exceedances
Tracks IP, tenant, and API key request rates. Logs exceedances
but allows requests through (advisory governance).
"""
@@ -162,6 +162,20 @@ def create_app(
extra={"tenant_id": tenant_id, "count": len(_buckets[tenant_key]), "limit": tenant_limit},
)
# Per-API-key tracking
auth_header = request.headers.get("authorization", "")
if auth_header.startswith("Bearer "):
key_prefix = auth_header[7:15] # first 8 chars
key_key = f"apikey:{key_prefix}"
key_limit = rate_limit * 3 # API keys get 3x the per-IP limit
_buckets[key_key] = [t for t in _buckets[key_key] if t > cutoff]
if len(_buckets[key_key]) >= key_limit:
logger.info(
"API rate limit advisory: API key limit exceeded (proceeding)",
extra={"key_prefix": key_prefix, "count": len(_buckets[key_key]), "limit": key_limit},
)
_buckets[key_key].append(now)
_buckets[ip_key].append(now)
_buckets[tenant_key].append(now)
return await call_next(request) # type: ignore[no-any-return]

147
fusionagi/api/audit_store.py Normal file
View File

@@ -0,0 +1,147 @@
"""Persistent audit event storage with SQLite backend."""
import json
import logging
import os
import sqlite3
import threading
import time
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
_DB_PATH = Path("data/audit.db")
_local = threading.local()
_lock = threading.Lock()
_initialized_dbs: set[str] = set()
def _get_conn() -> sqlite3.Connection:
"""Get or create a thread-local SQLite connection for audit storage."""
db_path_str = os.environ.get("FUSIONAGI_AUDIT_DB", str(_DB_PATH))
conn = getattr(_local, "conn", None)
conn_path = getattr(_local, "conn_path", None)
if conn is not None and conn_path == db_path_str:
return conn
db_path = Path(db_path_str)
db_path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(db_path), check_same_thread=False)
conn.execute("PRAGMA journal_mode=WAL")
with _lock:
if db_path_str not in _initialized_dbs:
conn.execute("""
CREATE TABLE IF NOT EXISTS audit_events (
id INTEGER PRIMARY KEY AUTOINCREMENT,
timestamp REAL NOT NULL,
action TEXT NOT NULL,
actor TEXT DEFAULT '',
resource_type TEXT DEFAULT '',
resource_id TEXT DEFAULT '',
details TEXT DEFAULT '{}',
ip_address TEXT DEFAULT '',
tenant_id TEXT DEFAULT ''
)
""")
conn.execute("CREATE INDEX IF NOT EXISTS idx_audit_ts ON audit_events(timestamp)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_audit_action ON audit_events(action)")
conn.commit()
_initialized_dbs.add(db_path_str)
_local.conn = conn
_local.conn_path = db_path_str
return conn
def record_audit_event(
action: str,
actor: str = "",
resource_type: str = "",
resource_id: str = "",
details: dict[str, Any] | None = None,
ip_address: str = "",
tenant_id: str = "",
) -> int:
"""Record an audit event to the persistent store.
Args:
action: The action performed (e.g. 'session.create', 'prompt.submit').
actor: Who performed the action.
resource_type: Type of resource affected.
resource_id: ID of the resource affected.
details: Additional JSON-serializable details.
ip_address: Client IP address.
tenant_id: Tenant identifier.
Returns:
The event ID.
"""
conn = _get_conn()
cursor = conn.execute(
"""INSERT INTO audit_events (timestamp, action, actor, resource_type, resource_id, details, ip_address, tenant_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
(time.time(), action, actor, resource_type, resource_id, json.dumps(details or {}), ip_address, tenant_id),
)
conn.commit()
return cursor.lastrowid or 0
def get_audit_events(
limit: int = 100,
since: float | None = None,
action: str | None = None,
tenant_id: str | None = None,
) -> list[dict[str, Any]]:
"""Retrieve audit events with optional filters.
Args:
limit: Maximum number of events to return.
since: Only return events after this Unix timestamp.
action: Filter by action type.
tenant_id: Filter by tenant.
Returns:
List of audit event dicts.
"""
conn = _get_conn()
query = "SELECT id, timestamp, action, actor, resource_type, resource_id, details, ip_address, tenant_id FROM audit_events WHERE 1=1"
params: list[Any] = []
if since is not None:
query += " AND timestamp >= ?"
params.append(since)
if action:
query += " AND action = ?"
params.append(action)
if tenant_id:
query += " AND tenant_id = ?"
params.append(tenant_id)
query += " ORDER BY timestamp DESC LIMIT ?"
params.append(min(limit, 10000))
rows = conn.execute(query, params).fetchall()
return [
{
"id": r[0],
"timestamp": r[1],
"action": r[2],
"actor": r[3],
"resource_type": r[4],
"resource_id": r[5],
"details": json.loads(r[6]) if r[6] else {},
"ip_address": r[7],
"tenant_id": r[8],
}
for r in rows
]
def get_audit_count() -> int:
"""Return total number of audit events."""
conn = _get_conn()
row = conn.execute("SELECT COUNT(*) FROM audit_events").fetchone()
return row[0] if row else 0

12
fusionagi/api/routes/audit_export.py
View File

@@ -15,6 +15,7 @@ from fastapi import APIRouter, Query
from fastapi.responses import StreamingResponse
from fusionagi._logger import logger
from fusionagi.api.audit_store import get_audit_events
from fusionagi.api.dependencies import get_telemetry_tracer
router = APIRouter()
@@ -25,7 +26,16 @@ def _get_audit_records(
limit: int = 1000,
since: float | None = None,
) -> list[dict[str, Any]]:
"""Collect audit records from telemetry tracer."""
"""Collect audit records from persistent store, falling back to telemetry tracer."""
# Try persistent audit store first
try:
records = get_audit_events(limit=limit, since=since)
if records:
return records
except Exception:
pass
# Fallback to telemetry tracer
tracer = get_telemetry_tracer()
if not tracer:
return []

223
fusionagi/api/routes/sessions.py
View File

@@ -5,12 +5,15 @@ from typing import Any
from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect
from fusionagi.api.audit_store import record_audit_event
from fusionagi.api.dependencies import (
get_event_bus,
get_orchestrator,
get_safety_pipeline,
get_session_store,
)
from fusionagi.api.error_codes import ErrorCode, error_response
from fusionagi.api.otel import trace_span
from fusionagi.api.websocket import handle_stream
from fusionagi.core import (
extract_sources_from_head_outputs,
@@ -40,13 +43,18 @@ def create_session(user_id: str | None = None) -> dict[str, Any]:
Returns:
JSON with session_id and user_id.
"""
_ensure_init()
store = get_session_store()
if not store:
raise HTTPException(status_code=503, detail="Session store not initialized")
session_id = str(uuid.uuid4())
store.create(session_id, user_id)
return {"session_id": session_id, "user_id": user_id}
with trace_span("session.create", attributes={"user_id": user_id or "anonymous"}):
_ensure_init()
store = get_session_store()
if not store:
raise HTTPException(
status_code=503,
detail=error_response(ErrorCode.ORCHESTRATOR_UNAVAILABLE, "Session store not initialized"),
)
session_id = str(uuid.uuid4())
store.create(session_id, user_id)
record_audit_event("session.create", resource_type="session", resource_id=session_id)
return {"session_id": session_id, "user_id": user_id}
@router.post("/{session_id}/prompt")
@@ -67,98 +75,123 @@ def submit_prompt(session_id: str, body: dict[str, Any]) -> dict[str, Any]:
FinalResponse with final_answer, head_contributions, confidence_score,
and transparency_report.
"""
_ensure_init()
store = get_session_store()
orch = get_orchestrator()
bus = get_event_bus()
if not store or not orch:
raise HTTPException(status_code=503, detail="Service not initialized")
sess = store.get(session_id)
if not sess:
raise HTTPException(status_code=404, detail="Session not found")
prompt = body.get("prompt", "")
parsed = parse_user_input(prompt)
if not prompt or not parsed.cleaned_prompt.strip():
if parsed.intent in (UserIntent.SHOW_DISSENT, UserIntent.RERUN_RISK, UserIntent.EXPLAIN_REASONING, UserIntent.SOURCES):
hist = sess.get("history", [])
if hist:
prompt = hist[-1].get("prompt", "")
if not prompt:
raise HTTPException(status_code=400, detail="No previous prompt; provide a prompt for this command")
else:
raise HTTPException(status_code=400, detail="prompt is required")
effective_prompt = parsed.cleaned_prompt.strip() or prompt
pipeline = get_safety_pipeline()
if pipeline:
pre_result = pipeline.pre_check(effective_prompt)
if not pre_result.allowed:
raise HTTPException(status_code=400, detail=pre_result.reason or "Input moderation failed")
task_id = orch.submit_task(goal=effective_prompt[:200])
# Dynamic head selection
head_ids = select_heads_for_complexity(effective_prompt)
if parsed.intent.value == "head_strategy" and parsed.head_id:
head_ids = [parsed.head_id]
force_second = parsed.intent == UserIntent.RERUN_RISK
return_heads = parsed.intent == UserIntent.SOURCES
result = run_dvadasa(
orchestrator=orch,
task_id=task_id,
user_prompt=effective_prompt,
parsed=parsed,
head_ids=head_ids if parsed.intent.value != "normal" or body.get("use_all_heads") else None,
event_bus=bus,
force_second_pass=force_second,
return_head_outputs=return_heads,
)
if return_heads and isinstance(result, tuple):
final, head_outputs = result
else:
final = result # type: ignore[assignment]
head_outputs = []
if not final:
raise HTTPException(status_code=500, detail="Failed to produce response")
if pipeline:
post_result = pipeline.post_check(final.final_answer)
if not post_result.passed:
with trace_span("session.prompt", attributes={"session_id": session_id}):
_ensure_init()
store = get_session_store()
orch = get_orchestrator()
bus = get_event_bus()
if not store or not orch:
raise HTTPException(
status_code=400,
detail=f"Output scan failed: {', '.join(post_result.flags)}",
status_code=503,
detail=error_response(ErrorCode.ORCHESTRATOR_UNAVAILABLE),
)
entry = {
"prompt": effective_prompt,
"final_answer": final.final_answer,
"confidence_score": final.confidence_score,
"head_contributions": final.head_contributions,
}
store.append_history(session_id, entry)
sess = store.get(session_id)
if not sess:
raise HTTPException(
status_code=404,
detail=error_response(ErrorCode.SESSION_NOT_FOUND),
)
response: dict[str, Any] = {
"task_id": task_id,
"final_answer": final.final_answer,
"transparency_report": final.transparency_report.model_dump(),
"head_contributions": final.head_contributions,
"confidence_score": final.confidence_score,
}
if parsed.intent == UserIntent.SHOW_DISSENT:
response["response_mode"] = "show_dissent"
response["disputed_claims"] = final.transparency_report.agreement_map.disputed_claims
elif parsed.intent == UserIntent.EXPLAIN_REASONING:
response["response_mode"] = "explain"
elif parsed.intent == UserIntent.SOURCES and head_outputs:
response["sources"] = extract_sources_from_head_outputs(head_outputs)
return response
prompt = body.get("prompt", "")
parsed = parse_user_input(prompt)
if not prompt or not parsed.cleaned_prompt.strip():
if parsed.intent in (UserIntent.SHOW_DISSENT, UserIntent.RERUN_RISK, UserIntent.EXPLAIN_REASONING, UserIntent.SOURCES):
hist = sess.get("history", [])
if hist:
prompt = hist[-1].get("prompt", "")
if not prompt:
raise HTTPException(
status_code=400,
detail=error_response(ErrorCode.PROMPT_EMPTY, "No previous prompt; provide a prompt for this command"),
)
else:
raise HTTPException(
status_code=400,
detail=error_response(ErrorCode.PROMPT_EMPTY),
)
effective_prompt = parsed.cleaned_prompt.strip() or prompt
pipeline = get_safety_pipeline()
if pipeline:
pre_result = pipeline.pre_check(effective_prompt)
if not pre_result.allowed:
raise HTTPException(
status_code=400,
detail=error_response(ErrorCode.INPUT_INVALID, pre_result.reason or "Input moderation failed"),
)
task_id = orch.submit_task(goal=effective_prompt[:200])
# Dynamic head selection
head_ids = select_heads_for_complexity(effective_prompt)
if parsed.intent.value == "head_strategy" and parsed.head_id:
head_ids = [parsed.head_id]
force_second = parsed.intent == UserIntent.RERUN_RISK
return_heads = parsed.intent == UserIntent.SOURCES
result = run_dvadasa(
orchestrator=orch,
task_id=task_id,
user_prompt=effective_prompt,
parsed=parsed,
head_ids=head_ids if parsed.intent.value != "normal" or body.get("use_all_heads") else None,
event_bus=bus,
force_second_pass=force_second,
return_head_outputs=return_heads,
)
if return_heads and isinstance(result, tuple):
final, head_outputs = result
else:
final = result # type: ignore[assignment]
head_outputs = []
if not final:
raise HTTPException(
status_code=500,
detail=error_response(ErrorCode.ORCHESTRATOR_TIMEOUT),
)
if pipeline:
post_result = pipeline.post_check(final.final_answer)
if not post_result.passed:
raise HTTPException(
status_code=400,
detail=error_response(ErrorCode.GOVERNANCE_DENIED, f"Output scan failed: {', '.join(post_result.flags)}"),
)
entry = {
"prompt": effective_prompt,
"final_answer": final.final_answer,
"confidence_score": final.confidence_score,
"head_contributions": final.head_contributions,
}
store.append_history(session_id, entry)
record_audit_event(
"prompt.submit",
resource_type="session",
resource_id=session_id,
details={"prompt_length": len(effective_prompt), "confidence": final.confidence_score},
)
response: dict[str, Any] = {
"task_id": task_id,
"final_answer": final.final_answer,
"transparency_report": final.transparency_report.model_dump(),
"head_contributions": final.head_contributions,
"confidence_score": final.confidence_score,
}
if parsed.intent == UserIntent.SHOW_DISSENT:
response["response_mode"] = "show_dissent"
response["disputed_claims"] = final.transparency_report.agreement_map.disputed_claims
elif parsed.intent == UserIntent.EXPLAIN_REASONING:
response["response_mode"] = "explain"
elif parsed.intent == UserIntent.SOURCES and head_outputs:
response["sources"] = extract_sources_from_head_outputs(head_outputs)
return response
@router.websocket("/{session_id}/stream")

46
fusionagi/api/security.py
View File

@@ -1,16 +1,31 @@
"""Security middleware: CSRF protection and Content Security Policy headers.
CSRF: Validates Origin/Referer headers on state-changing requests (POST/PUT/DELETE/PATCH).
Also supports double-submit cookie pattern via X-CSRF-Token header.
CSP: Adds Content-Security-Policy headers to all responses.
"""
from __future__ import annotations
import os
import secrets
from typing import Any
from fusionagi._logger import logger
CSRF_COOKIE_NAME = "fusionagi_csrf"
CSRF_HEADER_NAME = "x-csrf-token"
CSRF_TOKEN_LENGTH = 32
def generate_csrf_token() -> str:
"""Generate a cryptographically secure CSRF token.
Returns:
URL-safe token string.
"""
return secrets.token_urlsafe(CSRF_TOKEN_LENGTH)
def get_csrf_middleware() -> Any:
"""Return CSRF protection middleware class.
@@ -34,10 +49,23 @@ def get_csrf_middleware() -> Any:
state_changing = {"POST", "PUT", "DELETE", "PATCH"}
class CSRFMiddleware(BaseHTTPMiddleware):
"""CSRF protection via Origin/Referer validation."""
"""CSRF protection via Origin/Referer + double-submit cookie validation."""
async def dispatch(self, request: Request, call_next: Any) -> Response:
if request.method in state_changing and request.url.path.startswith("/v1/"):
# Double-submit cookie check
cookie_token = request.cookies.get(CSRF_COOKIE_NAME, "")
header_token = request.headers.get(CSRF_HEADER_NAME, "")
if cookie_token and header_token:
if not secrets.compare_digest(cookie_token, header_token):
logger.warning(
"CSRF advisory: token mismatch (proceeding)",
extra={"path": request.url.path},
)
elif cookie_token and not header_token:
logger.debug("CSRF advisory: cookie present but no header token", extra={"path": request.url.path})
# Origin/Referer check
origin = request.headers.get("origin", "").rstrip("/")
referer = request.headers.get("referer", "")
@@ -58,7 +86,21 @@ def get_csrf_middleware() -> Any:
else:
logger.debug("CSRF advisory: no origin/referer header", extra={"path": request.url.path})
return await call_next(request) # type: ignore[no-any-return]
response = await call_next(request)
# Set CSRF cookie if not present
if not request.cookies.get(CSRF_COOKIE_NAME):
token = generate_csrf_token()
response.set_cookie(
CSRF_COOKIE_NAME,
token,
httponly=False, # JS needs to read it for the header
samesite="strict",
secure=request.url.scheme == "https",
max_age=86400,
)
return response # type: ignore[no-any-return]
return CSRFMiddleware