WorkspaceGuard

Per-workspace usage metering and fail-closed quota caps for one shared self-hosted AI assistant deployment (Odysseus or a compatible backend).

Run Odysseus (or a compatible self-hosted assistant) for your household or small team and there's no way to see who sent how many messages this month, or to stop one person's usage from burning through everyone else's API budget. WorkspaceGuard is a sidecar that adds that layer: per-workspace message counts, an optional monthly cap that fails closed, and a CLI (or JSON) report an admin or another agent can read.

npx workspaceguard-cli usage
-> alex   [alex@example.com]: 812 messages this period, cap 1000 (81%)
-> jordan [jordan@example.com]: 203 messages this period, cap unlimited

Install

npm install -g workspaceguard-cli

Or run it without installing:

npx workspaceguard-cli usage

The package is workspaceguard-cli; the command it installs is workspaceguard. A genuine, independent Python port with the same CLI surface and --json shapes is published separately as workspaceguard-cli on PyPI (pip install workspaceguard-cli, see python/).

Related MCP server: AgenticWorkspace

Quickstart

# Register the workspaces sharing one deployment (identity = the header value
# your reverse proxy sets after authenticating, e.g. Cloudflare Access).
workspaceguard add-workspace alex --identity alex@example.com
workspaceguard add-workspace jordan --identity jordan@example.com

# Optional: cap alex at 1000 messages/month. Omit for unlimited (the default).
workspaceguard set-cap alex 1000

# See usage for every workspace.
workspaceguard usage

Real output from a fresh install:

-> alex [alex@example.com]: 0 messages this period, cap 1000 (0%)
-> jordan [jordan@example.com]: 0 messages this period, cap unlimited

Features

• Per-workspace message counting. Every request through the sidecar's chat() entry point increments a per-workspace, per-month counter (src/core/usage.ts), isolated so one workspace's usage never leaks into another's.

• Quota enforcement that fails closed. A workspace at its cap gets a QuotaExceededError before the backend is ever called. If the usage store is corrupted or unreadable, WorkspaceGuard blocks requests instead of silently resetting everyone's count to zero (see CHANGELOG.md).

• Agent-native --json on every command. workspaceguard usage --json returns structured output an orchestrator can parse directly, no screen-scraping.

• AES-256-GCM vault with real key rotation. workspaceguard rotate-key <id> re-encrypts a workspace's secrets under a new key and invalidates the old ciphertext.

• A self-healing circuit breaker. Backend calls open the circuit after 3 consecutive failures, then retry through a half-open probe and close again on success, instead of staying tripped forever.

• One choke point, not scattered checks. chat() in src/core/isolation-guard.ts is the single place every request flows through: resolve workspace, check quota, call backend, record usage.

• Two independent, tested distributions. The TypeScript package (npm) and the Python port (PyPI) implement the same design against separate test suites: 41/41 TypeScript tests and 50/50 Python tests passing as of this writing.

CLI reference

Every command accepts --json for a structured, agent-native output shape instead of the human-readable text shown below.

Global options

Data directory resolution, in order: --data-dir flag, then WORKSPACEGUARD_DATA_DIR env var, then ~/.workspaceguard. This used to default to the current working directory with no override -- running init from the wrong shell could silently write a live encryption key into an unrelated directory. init on an existing, valid key is idempotent (it loads and reuses that key); init on a key file that exists but doesn't decode to a valid key refuses to overwrite it without --force.

$ workspaceguard usage --json
{"ok":true,"usage":[{"workspaceId":"alex","identity":"alex@example.com","monthlyMessageCap":1000,"percentUsed":81,"period":"2026-07","messageCount":812,"estimatedBytes":48213}]}

The --json mode is what makes this agent-native rather than just human-convenient: an orchestrator or monitoring agent can call workspaceguard usage --json and parse the result directly instead of scraping terminal output.

Library API

import { createWorkspaceGuard, MockAdapter, QuotaExceededError } from "workspaceguard-cli";

const guard = await createWorkspaceGuard({ dataDir: "./data", backend: new MockAdapter() });
await guard.addWorkspace("alex", "alex@example.com");
await guard.setCap("alex", 1000);

try {
  await guard.chat("alex@example.com", "hello");
} catch (err) {
  if (err instanceof QuotaExceededError) {
    // alex is over their monthly cap
  }
}

const report = await guard.usageReport();

The Python port exposes the same shape: from workspaceguard import create_workspace_guard, MockAdapter, QuotaExceededError.

MCP Server

WorkspaceGuard's Python distribution ships a Model Context Protocol server, so an MCP-compatible agent (Claude Desktop, Claude Code, an orchestrator) can call WorkspaceGuard directly as a tool instead of shelling out to the CLI and parsing text.

pip install "workspaceguard-cli[mcp]"

It exposes one tool, run, a generic subprocess wrapper: pass it the same argument list you'd pass on the command line, and it shells out to the installed workspaceguard binary, parses the resulting JSON, and returns it. Every failure mode (missing binary, launch error, timeout, non-zero exit, unparseable output) comes back as a plain {"error": ...} dict instead of raising, so a bad call can't crash the server.

run(args=["usage", "--json"])
# -> {"ok": true, "usage": [{"workspaceId": "alex", "identity": "alex@example.com", "monthlyMessageCap": 1000, "percentUsed": 0, "period": "2026-08", "messageCount": 0, "estimatedBytes": 0}]}

To register it with an MCP-compatible client such as Claude Desktop, add it to the client's server config:

{
  "mcpServers": {
    "workspaceguard": {
      "command": "workspaceguard-mcp"
    }
  }
}

This assumes workspaceguard-mcp is already on PATH (installed via the mcp extra above). If you installed it somewhere else, replace "command" with the full path to the console script.

Comparison

WorkspaceGuard is a sidecar, not a competing product. It sits in front of an Odysseus deployment (or a compatible backend) and adds the one layer that backend doesn't provide.

What is WorkspaceGuard, and why does it exist

This project originally set out to add per-user workspace isolation (separate chat history, memory, API keys) to a self-hosted AI chat platform. A feasibility spike found that Odysseus already enforces per-user ownership on chat history, memory, and API tokens by default, so building a competing isolation layer would have duplicated work Odysseus already does correctly.

WorkspaceGuard instead keeps its tested isolation engine (namespace separation, an AES-256-GCM vault with real key rotation, fail-closed identity resolution, a self-healing circuit breaker) as the identity-resolution substrate, and builds the layer Odysseus doesn't provide: usage metering and quota enforcement per workspace.

Free tier (this repo, MIT): per-workspace message counting, monthly cap enforcement, a CLI/JSON usage report. Not in this repo: a hosted, multi-tenant billing dashboard is a separate, closed-source product, mentioned here only as a roadmap item and never merged into this MIT codebase.

Architecture

• src/core/isolation-guard.ts -- the single choke point (chat()) every request flows through: resolve workspace, check quota, call backend, record usage.

• src/core/usage.ts -- the usage-metering engine this project adds: per-workspace, per-month counters with automatic period rollover, and QuotaExceededError enforcement.

• src/core/vault.ts, src/core/namespace.ts, src/core/circuit-breaker.ts -- the original isolation-engine code, kept as the identity and workspace-boundary substrate the metering layer reads from.

• src/adapters/ -- the BackendAdapter interface. MockAdapter is the only implementation today; a real Odysseus HTTP adapter has not been built yet.

Backend-specific behavior never enters src/core/ directly. Everything goes through BackendAdapter.

Trust boundary

WorkspaceGuard trusts an upstream identity header (default: Cf-Access-Authenticated-User-Email) to resolve the workspace.

What's real vs. not yet built

• Real and tested: usage metering, quota enforcement, the original isolation engine (vault, namespace separation, circuit breaker), and the CLI with --json mode, verified by 41/41 passing TypeScript tests and 50/50 passing Python tests.

• Not yet built: a real Odysseus HTTP adapter (only MockAdapter exists today) and a hosted, multi-tenant billing dashboard (deliberately out of scope for this MIT repo).

Docs

• docs/getting-started.md

• docs/concepts.md

• docs/integrations/ci.md

• docs/integrations/backends.md

FAQ

Q: What does WorkspaceGuard actually do? A: It adds per-workspace usage metering and quota enforcement in front of one shared self-hosted AI assistant deployment. It counts messages per workspace per month, lets you set an optional cap that fails closed once hit, and gives you (or an agent) a workspaceguard usage report. It does not add chat history, memory, or API key isolation itself; that already exists by default in the target platform (see "What is WorkspaceGuard" above), and WorkspaceGuard's own isolation code (src/core/vault.ts, src/core/namespace.ts) is kept only as the identity-resolution substrate the metering layer reads from.

Q: What's WorkspaceGuard's actual differentiator? A: Narrow scope done well: not a full billing platform, and not a reimplementation of isolation the backend already has. Every request flows through one choke point (chat() in src/core/isolation-guard.ts), quota enforcement fails closed on a corrupted usage store instead of silently resetting everyone's usage to zero (see CHANGELOG.md), and every command supports --json for agent-native output.

Q: How does WorkspaceGuard compare to Odysseus? A: It isn't a competing product. WorkspaceGuard is a sidecar that sits in front of an Odysseus deployment (or a compatible backend); it doesn't replace anything Odysseus already does. See the comparison table above for the specific capability split.

Q: What platforms does WorkspaceGuard run on? A: The npm package (workspaceguard-cli) requires Node.js 20 or newer (engines.node in package.json). The Python port in python/ requires Python 3.9 through 3.13 (see the classifiers in python/pyproject.toml). Neither distribution ships a platform-specific binary, so both run wherever their respective runtime does (Linux, macOS, Windows).

Q: Is WorkspaceGuard a CLI, a library, or both? A: Both, in both distributions. The CLI (workspaceguard <command>) covers init, add-workspace, status, usage, set-cap, rotate-key, and scan. The same functionality is importable directly (createWorkspaceGuard from the TypeScript package, create_workspace_guard from the Python package) for anything that wants to call it from code instead of shelling out.

Q: What's a real current limitation I should know about before relying on this? A: The only backend adapter implemented today is MockAdapter, an in-memory adapter used for tests and local experimentation. A real Odysseus HTTP adapter has not been built yet (see docs/integrations/backends.md), so WorkspaceGuard does not yet forward live chat traffic to an actual Odysseus deployment. The metering and quota logic itself is real and tested; the network bridge to a live backend is the piece still outstanding.

Q: Does WorkspaceGuard need its own API keys, or hold any of my AI provider credentials? A: No. The only backend adapter that exists right now (MockAdapter) is in-memory and calls no external API. All backend-specific behavior is isolated behind the BackendAdapter interface (src/adapters/), so WorkspaceGuard's own code never needs to see provider credentials directly.

Q: Is WorkspaceGuard free to use commercially? A: Yes. This repository is MIT licensed in full, with no dual licensing and no feature gate. The hosted, multi-tenant billing dashboard mentioned above is a separate, closed-source product described only as a roadmap item; no billing-dashboard code lives in, or is withheld from, this MIT codebase.

Contributing and security

See CONTRIBUTING.md and SECURITY.md. Notable changes are tracked in CHANGELOG.md.

License

MIT.