FileSystemBackend does nothing extra: the directory is the source of truth. Demoable with no auth and no network.
wiki_filesystem.py
"""
Wiki Context Provider (filesystem backend)
==========================================
WikiContextProvider exposes a directory of markdown files via two tools:
- `query_<id>(question)` - natural-language reads via a sub-agent
with read-only Workspace tools.
- `update_<id>(instruction)` - natural-language writes via a sub-agent
with read + write Workspace tools.
The pluggable backend decides what happens to writes after the
sub-agent returns. `FileSystemBackend` does nothing extra: the
directory is the source of truth. Demoable with no auth and no
network.
This cookbook seeds an empty `demo-wiki/` next to the script, asks
the agent to add a deploys runbook, then asks it to read the runbook
back and answer a question.
Requires: OPENAI_API_KEY
"""
from __future__ import annotations
import asyncio
import shutil
from pathlib import Path
from agno.agent import Agent
from agno.context.wiki import FileSystemBackend, WikiContextProvider
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Seed an empty wiki directory next to the cookbook
# ---------------------------------------------------------------------------
WIKI_PATH = Path(__file__).resolve().parent / "demo-wiki"
if WIKI_PATH.exists():
shutil.rmtree(WIKI_PATH)
WIKI_PATH.mkdir()
(WIKI_PATH / "README.md").write_text(
"# Demo Wiki\n\n"
"This is a tiny markdown wiki used by the WikiContextProvider cookbook.\n"
"Pages live under `runbooks/`, `architecture/`, and the root.\n"
)
# ---------------------------------------------------------------------------
# Create the provider
# ---------------------------------------------------------------------------
wiki = WikiContextProvider(
id="wiki",
backend=FileSystemBackend(path=WIKI_PATH),
model=OpenAIResponses(id="gpt-5.4-mini"),
)
# ---------------------------------------------------------------------------
# Create the Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIResponses(id="gpt-5.4"),
tools=wiki.get_tools(),
instructions=wiki.instructions(),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run the Agent
# ---------------------------------------------------------------------------
async def _run() -> None:
print(f"\nwiki.status() = {wiki.status()}\n")
write_prompt = (
"Add a deploys runbook to docs/deploys.md with three sections: "
"Prerequisites, Steps, and Rollback. Keep it terse."
)
print(f"> {write_prompt}\n")
await agent.aprint_response(write_prompt)
print()
read_prompt = "How do we deploy? Cite the file you pulled from."
print(f"> {read_prompt}\n")
await agent.aprint_response(read_prompt)
deploys = WIKI_PATH / "docs" / "deploys.md"
assert deploys.exists(), f"agent did not write {deploys}"
print(
f"\n[ok] wrote {deploys.relative_to(WIKI_PATH)}: {deploys.stat().st_size} bytes"
)
if __name__ == "__main__":
asyncio.run(_run())
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 notion-client openai
3
Export your API keys
export NOTION_API_KEY="your_notion_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:NOTION_API_KEY="your_notion_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
wiki_filesystem.py, then run:python wiki_filesystem.py