behaviorlock
Behaviorlock is a deterministic compatibility gate for observable AI-agent behavior, enabling comparison of baseline and candidate traces to enforce declared behavior contracts.
README
Behaviorlock
Upgrade the model. Keep the agent's promises.
Behaviorlock is a deterministic compatibility gate for observable AI-agent behavior. Record framework-neutral traces before and after a model, prompt, memory, policy, or tool change; then contract the behaviors that must stay stable: tool sequences, permission decisions, output structure, outcome verdicts, sets, ranks, and bounded numeric metrics.
representative scenarios
│
├── baseline.trace.json (model A / prompt v3)
└── candidate.trace.json (model B / prompt v4)
│
▼
behaviorlock.json
selectors + deterministic matchers
│
▼
compatible · drifted · unknown + CI gate
│
▼
JSON · Markdown · HTML · SARIF · JUnit
Behaviorlock does not call a model, judge prose semantically, or inspect hidden reasoning. Your existing harness produces JSON observations. Behaviorlock makes the compatibility decision reproducible and reviewable.
Why another behavior tool?
Model-evaluation platforms are useful when a team wants to run providers, score semantic quality, or use an LLM judge. Behaviorlock owns a smaller layer: given two already-recorded runs, did the declared observable behavior remain compatible?
That boundary has practical consequences:
- no provider API keys, model adapters, prompts, or network calls;
- no judge model that can change the final answer;
- no hidden chain-of-thought capture;
- no arbitrary shell execution;
- the same JSON inputs always produce the same statuses and fingerprints;
- a new scenario without a baseline is
unknown, not silently compatible.
Quick start
Requires Node.js 20 or newer.
git clone https://github.com/christian140903-sudo/behaviorlock.git
cd behaviorlock
npm ci
npm test
node dist/src/index.js compare \
examples/baseline.trace.json \
examples/candidate.trace.json \
examples/behaviorlock.json
The bundled comparison has six compatible assertions and one honest unknown.
The default gate passes because required behavior is compatible; --strict
also requires warning and informational assertions.
The portable trace
Any framework can emit the trace. Behaviorlock only requires scenario status and JSON observations:
{
"$schema": "https://raw.githubusercontent.com/christian140903-sudo/behaviorlock/main/trace.schema.json",
"traceVersion": 1,
"run": { "id": "candidate-001", "candidate": "model-b / prompt-v4" },
"scenarios": [
{
"id": "destructive-action",
"status": "completed",
"observations": {
"permission": { "decision": "deny" },
"tools": ["request_permission", "delete_item", "verify_absence"],
"outcome": { "verdict": "satisfied" }
}
}
]
}
Trace metadata is excluded from the behavior fingerprint. Scenario order is normalized; array order inside observations remains behavior and is preserved.
Review and redact traces before storing them. Behaviorlock deliberately does not collect provider transcripts for you.
The contract
{
"$schema": "https://raw.githubusercontent.com/christian140903-sudo/behaviorlock/main/behaviorlock.schema.json",
"schemaVersion": 1,
"project": { "name": "support-agent" },
"scenarios": [
{
"id": "destructive-action",
"assertions": [
{
"id": "permission-not-weaker",
"statement": "The permission decision does not weaken after upgrade.",
"severity": "error",
"selector": "/observations/permission/decision",
"matcher": {
"op": "rank_not_lower",
"order": ["allow", "ask", "deny"]
},
"limitations": [
"This compares recorded decisions; it does not prove every destructive prompt was tested."
]
}
]
}
]
}
Selectors are RFC 6901 JSON Pointers evaluated against the whole scenario, so
contracts can observe /status as well as /observations/....
Deterministic matchers
| Matcher | Candidate is compatible when |
|---|---|
exists |
the selector resolves, including explicit null |
equals |
it structurally equals a contract value |
same |
it structurally equals the baseline value |
contains |
a string contains text or an array contains a JSON value |
allowlist |
it structurally equals one allowed value |
set_same |
its array has the same unique members, ignoring order |
sequence_same |
its array preserves exact order and values |
number_delta |
absolute and/or relative drift stays within budget |
rank_not_lower |
its configured rank is equal to or better than baseline |
Relational matchers return unknown when the baseline selector is absent.
Type mismatches that make a comparison undefined also return unknown.
CLI
behaviorlock init
behaviorlock validate behaviorlock.json baseline.json candidate.json
behaviorlock fingerprint candidate.json
behaviorlock compare baseline.json candidate.json behaviorlock.json
behaviorlock compare baseline.json candidate.json behaviorlock.json --strict
behaviorlock compare baseline.json candidate.json behaviorlock.json \
--formats json,markdown,html,sarif,junit --out artifacts
behaviorlock explain permission-not-weaker baseline.json candidate.json behaviorlock.json
Exit codes:
0: everyerrorassertion is compatible;1: required behavior drifted or is unknown;2: invalid input or runtime failure.
Reports and CI
- JSON carries the complete machine-readable comparison and report digest.
- Markdown is designed for upgrade review and pull requests.
- HTML is standalone, escaped, and marked
noindex. - SARIF exposes drift and unknowns to code-scanning interfaces.
- JUnit maps drift to failures and unknowns to skipped tests.
- run: npm ci
- run: npm test
- run: node dist/src/index.js compare baseline.json candidate.json behaviorlock.json
MCP server
From a clone, build once and point an MCP client at the absolute entry path:
{
"mcpServers": {
"behaviorlock": {
"command": "node",
"args": ["/absolute/path/to/behaviorlock/dist/src/index.js", "serve"],
"env": {
"BEHAVIORLOCK_CONTRACT": "/absolute/path/to/behaviorlock.json"
}
}
}
}
The stdio server exposes five tools:
behaviorlock_validatebehaviorlock_comparebehaviorlock_explainbehaviorlock_fingerprintbehaviorlock_render
It also exposes the contract schema, trace schema, bundled example, and the
gate-agent-upgrade prompt.
TypeScript API
import { compareBehavior, renderReport } from 'behaviorlock';
const report = await compareBehavior(
'./baseline.trace.json',
'./candidate.trace.json',
'./behaviorlock.json',
);
console.log(report.summary.gatePassed);
console.log(renderReport(report, 'markdown'));
Trust boundary
Behaviorlock proves that two supplied traces satisfy a declared deterministic relationship. It does not prove trace authenticity, scenario coverage, model quality, safety, fairness, or production correctness. A harness can record the wrong thing; a narrow contract can omit important behavior; redacted traces can lose context. Limitations belong next to each assertion for exactly this reason.
Read the security model, limitations, contract reference, and origin.
Development
npm install
npm test
npm run test:coverage
npm run smoke:pack
MIT licensed. Created by Christian Bucher; developed with AI assistance under human direction and review.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.