surreal_db.py
"""
Per-User Isolation: SurrealDB
=============================
Each user gets a private view of one shared knowledge base. Documents
uploaded with a user_id are visible only to that user; documents uploaded
without one are shared with everyone.
SurrealDB stores the owner in an option<string> user_id field and adds
user_id = $scope_user_id OR user_id = NONE to the vector search.
- Search as Alice: her chunks plus shared content, never Bob's
- Search as Bob: his chunks plus shared content, never Alice's
- Search with user_id=None: admin view, sees everything
Requirements:
- ./cookbook/scripts/run_surrealdb.sh
- uv pip install surrealdb
- OPENAI_API_KEY
"""
import asyncio
from typing import List
from agno.agent import Agent
from agno.knowledge.document import Document
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIResponses
from agno.vectordb.surrealdb import SurrealDb
from surrealdb import AsyncSurreal, Surreal
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
ALICE_SALARY = "Alice's salary is $180,000. Reviewed annually in March."
BOB_SALARY = "Bob's salary is $215,000. Reviewed annually in June."
HOLIDAYS = "The company is closed on January 1, July 4, and December 25."
SURREAL_URL = "ws://localhost:8000/rpc"
SURREAL_USER = "root"
SURREAL_PASSWORD = "root"
SURREAL_NAMESPACE = "agno"
SURREAL_DATABASE = "demo"
COLLECTION_NAME = "per_user_isolation_demo"
def show(label: str, results: List[Document]) -> None:
"""Print one search result set."""
print(f"{label} -> {len(results)} results")
for d in results:
print(f" - {d.content[:80]}")
print()
# ---------------------------------------------------------------------------
# Create Knowledge Base
# ---------------------------------------------------------------------------
# Sync client for the constructor's exists()/create(), async client for the
# searches below - it signs in on the running loop at the top of main().
client = Surreal(SURREAL_URL)
client.signin({"username": SURREAL_USER, "password": SURREAL_PASSWORD})
client.use(SURREAL_NAMESPACE, SURREAL_DATABASE)
async_client = AsyncSurreal(SURREAL_URL)
vector_db = SurrealDb(
client=client, async_client=async_client, collection=COLLECTION_NAME
)
# Start clean: records left by an earlier run still carry their owner and would
# show up as extra results below.
if vector_db.exists():
vector_db.drop()
vector_db.create()
knowledge = Knowledge(
name="per_user_demo",
description="Per-user RAG isolation demo (SurrealDB)",
vector_db=vector_db,
)
# ---------------------------------------------------------------------------
# Run Demo
# ---------------------------------------------------------------------------
if __name__ == "__main__":
async def main() -> None:
await async_client.signin(
{"username": SURREAL_USER, "password": SURREAL_PASSWORD}
)
await async_client.use(SURREAL_NAMESPACE, SURREAL_DATABASE)
await knowledge.ainsert(
name="alice_salary",
text_content=ALICE_SALARY,
user_id="alice",
)
await knowledge.ainsert(
name="bob_salary",
text_content=BOB_SALARY,
user_id="bob",
)
# The last upload has no user_id, which makes it shared with everyone.
await knowledge.ainsert(
name="company_holidays",
text_content=HOLIDAYS,
)
print("\n" + "=" * 60)
print("SCOPED SEARCH: three callers, one corpus")
print("=" * 60 + "\n")
alice_view = await knowledge.asearch(query="salary", user_id="alice")
show("Alice (user_id='alice')", alice_view)
alice_text = " ".join(d.content for d in alice_view)
assert "180,000" in alice_text, "Alice cannot retrieve her own document"
assert "January 1" in alice_text, (
"Shared content is unreachable from Alice's scoped view"
)
assert "215,000" not in alice_text, (
"Isolation broken: Alice's scoped view leaked Bob's salary"
)
bob_view = await knowledge.asearch(query="salary", user_id="bob")
show("Bob (user_id='bob')", bob_view)
bob_text = " ".join(d.content for d in bob_view)
assert "215,000" in bob_text, "Bob cannot retrieve his own document"
assert "January 1" in bob_text, (
"Shared content is unreachable from Bob's scoped view"
)
assert "180,000" not in bob_text, (
"Isolation broken: Bob's scoped view leaked Alice's salary"
)
admin_view = await knowledge.asearch(query="salary", user_id=None)
show("Admin (user_id=None)", admin_view)
admin_text = " ".join(d.content for d in admin_view)
for expected in ("180,000", "215,000", "January 1"):
assert expected in admin_text, (
f"Admin view is missing {expected}, it has to see every owner"
)
assert all(d.content in admin_text for d in alice_view), (
"Admin view has to be a superset of a scoped user's view"
)
print("Alice and Bob each see their own chunk plus the shared one.")
print("Admin sees the whole corpus.")
print("\n" + "=" * 60)
print("AGENT-MEDIATED RETRIEVAL: the owner has to survive the handoff")
print("=" * 60 + "\n")
alice_agent = Agent(
name="Alice's Assistant",
model=OpenAIResponses(id="gpt-5.5"),
knowledge=knowledge,
search_knowledge=True,
user_id="alice",
instructions=[
"Answer questions using ONLY the knowledge you can retrieve.",
"If you don't know, say so - do not invent salary figures.",
],
markdown=True,
)
response = await alice_agent.arun("What is Bob's salary?")
print("Alice's agent on 'What is Bob's salary?':")
print(response.content)
# Assert on what retrieval returned, not on the model's prose.
retrieved = " ".join(
item["content"]
for ref in (response.references or [])
for item in (ref.references or [])
if isinstance(item, dict) and item.get("content")
)
# Empty references mean the agent never searched, so the check below is vacuous
assert retrieved, (
"Retrieval returned no documents, so the isolation check below would pass on nothing"
)
assert "215,000" not in retrieved, (
"Isolation broken: Alice's agent retrieved Bob's salary. The owner was "
"dropped between the run context and the vector DB, so retrieval ran "
"unscoped (user_id=None, the admin view)."
)
print("\nisolation holds: Bob's salary never reached Alice's agent")
print("\nDone.")
asyncio.run(main())
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai surrealdb
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run SurrealDB
docker run -d --rm --name surrealdb --pull always -p 8000:8000 surrealdb/surrealdb:latest start --user root --pass root
5
Run the example
Save the code above as
surreal_db.py, then run:python surreal_db.py