Watchlight — Developer Edition
Govern an AI agent in five minutes. One install, zero infrastructure, same API as production.
Watchlight puts a policy decision point in front of every action your AI agents take — authorizing tool calls, attenuating sub-agent authority to a strict subset, and recording a tamper-evident, value-free audit trail. The Developer Edition runs that entire authorization model in-process, so you can see it work in your own terminal with no server, no database, and no signup.
The code you write here is the code you ship to production. Going to production is pointing at a running policy service — not a rewrite.
Quickstart
Status: in active development. The target experience is below; see the Developer Edition docs for the current state.
pip install watchlight
from watchlight import govern
@govern.tool(intent="research")
def web_search(query: str) -> str:
...
@govern.tool(intent="transfer") # governed, but no policy permits it
def transfer_funds(to: str, amount: int) -> str:
...
$ python agent.py
watchlight: governing 'my-agent' (dev mode, in-process engine)
watchlight: ALLOW read tool/web_search
watchlight: DENY execute tool/transfer_funds no matching policy
That DENY line — in your own terminal, in under five minutes, with no
account — is the product.
Already using a framework? Govern it in-process
Bring your existing LangGraph, Pydantic AI, or Claude Agent SDK agent under governance with zero infrastructure — the same plugin you ship to production, wired to the in-process engine:
pip install 'watchlight[langgraph]' # or [pydantic-ai], [claude-agent]
from watchlight.langgraph import governed_plugin # .pydantic_ai / .claude_agent
plugin = governed_plugin("watchlight.policy.json") # in-process, zero infra
async with await plugin.start_run("research-agent") as handle:
if not await handle.authorize_action("read", "tool/web_search"):
raise PermissionError("denied before it executed")
... # your tool runs, every action governed + recorded to .watchlight/audit.jsonl
Going to production is one environment variable, not a rewrite — set
WATCHLIGHT_APDP_URL and the identical code authorizes against a running policy
service. Runnable examples for all three frameworks are in
examples/.
Watch every decision live — watchlight dev
A zero-dependency local dashboard that tails your value-free audit trail and shows every governance decision as it happens — the ALLOWs, and the DENYs that stopped a tool before it ran.
watchlight dev # → http://127.0.0.1:7000
Run your governed agent in another terminal and watch the decisions stream in. It shows only this process — fleet-wide lineage, signed audit, and drift→quarantine are the governed control plane (Enterprise).
Govern an MCP server
Put a policy decision point in front of any MCP
server (spec 2026-07-28). Every tools/call is authorized in-process before
it reaches the server — a denied call never executes.
pip install watchlight-mcp
import watchlight_mcp
watchlight_mcp.serve(
listen_addr="127.0.0.1:9700",
upstream_url="http://localhost:3000/mcp", # the MCP server you're governing
upstream_server="github",
policy_files=["examples/mcp.policy.json"],
)
Point your MCP client at http://127.0.0.1:9700/mcp instead of the server. A
self-contained, self-demonstrating example (it fires an allowed and a denied
call and proves the denied one never ran) is in
examples/governed_mcp_server.py.
What runs locally
| Capability | Developer Edition (free / open) | Enterprise |
|---|---|---|
| Policy engine | in-process Cedar, policies from a local .cedar file |
a running, scaled policy service |
| Sub-agent scope attenuation | engine-side strict-subset validation | same, server-side |
| Content / PII screening | policy-based, in-process | a running guardrails service |
| Audit | local JSONL, greppable, value-free | a signed, tamper-evident audit service |
| Dashboard | watchlight dev → localhost:7000 (policies + execution lineage) |
the full operator console |
Everything the Developer Edition removes is infrastructure, never a guarantee. Fail-closed semantics, engine-side attenuation, explicit scopes, and value-free audit are identical in every mode.
Progressive disclosure
Each level is one environment variable away from the next. Nothing is rewritten between levels.
- Level 0 —
pip install watchlight. In-process engine, audit to stdout. - Level 1 —
watchlight dev. Adds a local dashboard (decisions, denials, scope tree, execution lineage). - Level 2 —
docker compose up. Real policy service + database; policies still from your local file. - Level 3 — Production. The full governed platform.
Developer Edition vs Enterprise
The Developer Edition is the real engine — free, open, and running in-process so you can evaluate the entire authorization model on your laptop with zero infrastructure. Enterprise is the same code pointed at the governed control plane; it doesn't replace anything, it adds what a fleet in production needs:
- Signed, tamper-evident lineage & audit — every decision and lineage event cryptographically signed (KMS-backed), so the trail is court-defensible.
- Multi-tenant isolation + roll-up administration — tenant hierarchy, scoped admins, and a cross-tenant authorization matrix.
- Drift & anomaly detection → automatic quarantine — behavioural, goal-drift, and argument-shape detectors that quarantine a misbehaving agent before the next action.
- Full enforcement-effect taxonomy — beyond allow/deny: block, terminate, quarantine, sever-subtree, and revoke, enforced at runtime across the plane.
- Fleet-wide revocation & cross-environment governance — revoke authority across every agent at once, and govern dev, staging, and prod under one authority model (including sovereign / air-gapped deployment).
- Content / PII guardrails service and global execution-graph lineage with the full operator console.
- SSO / RBAC / enterprise audit, high availability, support, and SLAs.
You've outgrown the Developer Edition when…
- Compliance asks "prove who authorized this in production" → you need signed, tamper-evident lineage.
- You're governing more than one agent, or more than one environment → central policy lifecycle + the global execution graph.
- Security wants a misbehaving agent stopped before its next action → drift/anomaly detection → automatic quarantine.
- You need to revoke authority fleet-wide, not process-by-process.
- Procurement needs SSO, RBAC, HA, SLAs, or sovereign/air-gapped deployment.
Each of these is a governance guarantee a single in-process engine structurally cannot provide — it needs the control plane.
Migrating is one environment variable — never a rewrite. The tools you decorate, the policies you write, and the guarantees you rely on (fail-closed, engine-side attenuation, explicit scopes, value-free audit) are identical in every mode. Enterprise simply points the same code at a running plane.
The engine ships as a compiled wheel and the Developer Edition is a deliberate subset of the platform — the governed control plane (signing, multi-tenant, guardrails, drift, execution-graph) is the enterprise product, never bundled here.
→ Talk to us about Enterprise when you're ready for production.
License
Apache-2.0.
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