|
7 | 7 |
|
8 | 8 | Hard execution and budget limits for autonomous agents — enforced locally. |
9 | 9 |
|
10 | | -Autonomous agents can silently burn thousands of dollars in token spend or enter infinite tool loops. AuthorityLayer enforces hard runtime limits so agents stop the moment a boundary is crossed. |
11 | | - |
12 | 10 | ✔ No telemetry |
13 | 11 | ✔ Works fully offline |
14 | 12 | ✔ Fail-closed by default |
15 | 13 | ✔ Zero runtime dependencies |
16 | 14 |
|
17 | 15 | --- |
18 | 16 |
|
| 17 | +## Why AuthorityLayer Exists |
| 18 | + |
| 19 | +Autonomous AI agents can fail in expensive, hard-to-detect ways: |
| 20 | + |
| 21 | +- **Runaway token spend** — a looping agent burns thousands of dollars before anyone notices |
| 22 | +- **Infinite tool loops** — agents retry the same failing call indefinitely |
| 23 | +- **Retry storms** — cascading failures hammer external APIs with no ceiling |
| 24 | +- **Cascading tool call explosions** — one agent spawns sub-calls that spawn more |
| 25 | + |
| 26 | +Most tooling detects these problems after they happen — in dashboards, alerts, or post-run analytics. |
| 27 | + |
| 28 | +AuthorityLayer prevents them inside the runtime, before cost or damage accumulates. |
| 29 | + |
| 30 | +It helps developers: |
| 31 | + |
| 32 | +- prevent runaway LLM costs |
| 33 | +- stop infinite agent loops |
| 34 | +- limit AI agent tool calls per run and per minute |
| 35 | +- enforce runtime safety for autonomous agents |
| 36 | + |
| 37 | +--- |
| 38 | + |
19 | 39 | ## Live Enforcement Demo (10-second example) |
20 | 40 |
|
21 | 41 |  |
@@ -46,13 +66,12 @@ AuthorityLayer Doctor authority-layer@0.1.2 |
46 | 66 | All checks passed. AuthorityLayer is ready. |
47 | 67 | ``` |
48 | 68 |
|
49 | | -Try a simulated enforcement run: |
| 69 | +## CLI Tools |
50 | 70 |
|
51 | | -```bash |
52 | | -npx authority-layer simulate |
53 | | -``` |
54 | | - |
55 | | -Runs a canned agent loop that intentionally exceeds the budget cap — so you can see AuthorityLayer halt execution and verify the event chain without writing any code. |
| 71 | +| Command | What it does | |
| 72 | +|---------|-------------| |
| 73 | +| `npx authority-layer doctor` | Verify your installation passes all environment checks | |
| 74 | +| `npx authority-layer simulate` | Run a live enforcement simulation — see a halt in action without writing any code | |
56 | 75 |
|
57 | 76 | --- |
58 | 77 |
|
@@ -100,6 +119,19 @@ When a primitive breaches, AuthorityLayer throws a typed `EnforcementHalt` error |
100 | 119 |
|
101 | 120 | --- |
102 | 121 |
|
| 122 | +## How AuthorityLayer Is Different |
| 123 | + |
| 124 | +Most AI guardrail tools focus on moderation or observability. AuthorityLayer focuses on **runtime enforcement**. |
| 125 | + |
| 126 | +| Tool type | What it does | |
| 127 | +|-----------|-------------| |
| 128 | +| Prompt guardrails | Filter or rewrite prompts and outputs | |
| 129 | +| Observability platforms | Analyze agent behavior after execution | |
| 130 | +| Cost analytics | Track and report token usage | |
| 131 | +| **AuthorityLayer** | Enforces hard limits **during** execution — halts immediately when a boundary is crossed | |
| 132 | + |
| 133 | +--- |
| 134 | + |
103 | 135 | ## Documentation |
104 | 136 |
|
105 | 137 | | Topic | File | |
|
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