ComplyEdge TrustLint: offline EU AI Act compliance checks

io.github.ComplyEdge由 GitHub 账号 ComplyEdge 发布v0.2.22更新于 Oct 30, 2026

Offline TrustLint checks: EU AI Act Article 5, Article 50, GPAI, plus GDPR and HIPAA.

发布方自己的服务:Edge Network

已验证STDIO仅桌面开发者工具安全与监控

概览

AI 生成的概览

离线 TrustLint MCP 服务器,让助手按欧盟 AI 法案、GDPR 和 HIPAA 规则检查提示词与输出,并给出法条引用。

可以做什么
  • 用内置 TrustLint 规则检查文本,返回 PASS/FAIL 及带引用的发现
  • 列出可用规则,可按司法辖区筛选
  • 在生成前扫描提示词,返回 SAFE 或 RISK_DETECTED
  • 可选调用托管沙箱检查,返回 BLOCKED 或 ALLOWED 且不留记录
适用场景
适合希望助手在生成前后筛查提示词或模型输出是否触及欧盟 AI 法案(第 5 条、第 50 条、GPAI)、GDPR 或 HIPAA 问题,并展示对应法条依据,同时不把文本发送到托管服务的场景。
运行要求
以本地 stdio 进程运行,从 PyPI 安装(complyedge 加 mcp 扩展,或通过 npx 使用 npm 包)。三个核心工具无需 API 密钥。仅当设置 COMPLYEDGE_API_KEY 时才会出现可选的 sandbox_check 工具;在托管端点上则需客户端以 Authorization Bearer 头发送自己的密钥。
安装前请注意
核心工具离线运行,无需凭据。设置 COMPLYEDGE_API_KEY 会启用托管沙箱调用,文本将发送到 ComplyEdge 服务器;README 说明沙箱结果不构成证据且不被记录。README 还提到,在托管 API 路径上,付费计划的注入检查与更广审查可能把文本发送给位于美国的 OpenAI。结果应视为基于规则的检查,而非法律意见。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ComplyEdge TrustLint: offline EU AI Act compliance checks,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

ComplyEdge Python SDK

Prove what your AI decided, without keeping what it saw. Every request and answer is checked against open EU AI Act rules that cite the law: one record per decision, never a copy of the text.

Choose the Right Package

complyedge is the Python client for the hosted ComplyEdge runtime API. It enforces policy decisions in your application and records the resulting evidence trail. For an offline command-line linter with no API key, use TrustLint instead.

Installation

bash
pip install complyedge

Quick Start: EU AI Act in Three Lines

python
from complyedge import compliance_check
@compliance_check(    jurisdiction="EU",    agent_id="my-agent",    decision_context={  # what only you know, for an ADCR-complete record        "deciding_system": {"version": "gpt-5.4-2026-08-01"},        "purpose_ref": "purpose:support-replies",        "data_categories": ["contact"],    },)def my_agent(prompt):    return llm.generate(prompt)  # every input and output checked

That's it. Every input and output is checked against the EU AI Act rule set (Article 5, Article 50, GPAI). Every check gets a record with an event_id, the rules that fired (if any), a timestamp and a keyed hash of the text. A block by a rule also gets its legal citation. On a paid plan the injection check can also block when the month's model budget covers it, and that block names the law. A wider-review block does not cite an article. If that review is on and clears every hit, the request is allowed. decision_context is optional: without it every check still runs and is recorded, but the record does not meet ADCR class Record (see Tell the record what only you know). With the default fail mode, open, an API outage lets traffic through unchecked and unrecorded; set COMPLYEDGE_FAIL_MODE=closed, or pass config=ComplianceConfig(fail_mode="closed"), to raise ComplianceUnavailableError instead. Without an API key the decorator always runs the function unchecked.

Classifiers (eu-ai-act-* MCPs) score the system. ComplyEdge checks and records this prompt or output. Article 50 here is unlabeled or deceptive use, not C2PA watermarking.

Each line is an alternative; pick the one you need.

bash
pip install complyedge                               # this SDK: hosted checks and the decoratorpip install 'complyedge[mcp]'                        # plus the MCP server: complyedge-mcppip install 'complyedge[agents]'                     # plus the OpenAI Agents guardrailpip install trustlint                                # offline linter CLI, separate packagenpx -y @complyedge/mcp                               # the MCP server on Node, no Pythonclaude mcp add complyedge -- npx -y @complyedge/mcp  # add the Node MCP server to Claude Code

OpenAI Agents extra (hosted path; needs COMPLYEDGE_API_KEY): from complyedge.agents import create_compliance_guardrail

GitHub Action: uses: complyedge/trustlint-action@v1

The decorator reads your API key from the COMPLYEDGE_API_KEY environment variable by default. Pass api_key_env="MY_VAR" to use a different one.

Multi-Jurisdiction Enforcement

jurisdiction is where the end user is, not where your company is based: the EU AI Act applies when an AI system's output is used in the EU, wherever the provider or deployer is established (Art. 2(1)(c)). Default: EU.

ValueWhat the phrase rules cover
EUEU AI Act: Article 5 prohibited practices, plus Article 6 high-risk, Article 50 and GPAI (Articles 51 to 55) rules that fire on text describing a missing control; prompt-injection detection; personal data and secrets (citing GDPR). Any rule that fires blocks the call.
US, US-*SEC Regulation FD selective disclosure + prompt-injection detection

On a paid plan, a clean pass then runs an injection check when the month's model budget covers it, which can block. The wider review runs only when you turn it on and that budget covers it.

HIPAA, COPPA, TCPA, BIPA, CCPA, NYC LL144 and ECPA rules, and the GDPR YAML rules (consent, data minimisation, DPIA, erasure, breach notification, transfers), run offline in TrustLint (pip install trustlint), not on the hosted /v1/check path. The hosted personal data and secrets rules above cite GDPR Articles 5(1)(c) and 32(1).

python
@compliance_check(jurisdiction="EU", agent_id="hr-screening")def hr_screening(candidate: str) -> str:    return llm.generate(candidate)

Per-rule scoping (e.g. only Article 5) is planned but not yet exposed in the SDK: all rules for the selected jurisdiction run today.

Additional Installation Options

bash
# Development setuppip install 'complyedge[dev]'
# Local development from sourcepip install -e ./sdks/python

Client API: Without the Decorator

python
from complyedge import ComplyEdge
ce = ComplyEdge(api_key="your-key")result = ce.check("AI-generated content", jurisdiction="EU")
if result.allowed:    print("Content approved")else:    for v in result.violations:        print(f"{v.rule_id}: {v.rule_description}")  # the rule's legal citation

Record who each check acts for

Every audit record has user_id, user_role and session_id. They are filled only when you send them; leave them out and those columns are blank in your audit export.

python
# Per callce.check(text, user_id="ref_5d81e2c4", user_role="recruiter", session_id="conv_abc")
# Client defaults for an agent that always acts for the same personce = ComplyEdge(api_key=api_key, user_id="ref_5d81e2c4", user_role="recruiter", session_id=run_id)
# Decorator: a dict, or a zero-argument function read on every call@compliance_check(jurisdiction="EU",                  attribution=lambda: {"user_id": current_user.id, "session_id": request_id})def answer(prompt: str) -> str:    ...

ComplyEdgeClient.check_compliance() and the async client take the same three keyword arguments; they override the same keys in context. Use a stable identifier from your own system, never a name or an email address. user_id and session_id are stored as keyed pseudonyms (p1:...) under your account's own key, not as sent; user_role is stored as sent, so it must name a role, not a person.

Never send a credential in these fields: a login token, session cookie, JWT or API key would sit in every audit record and export. If your session id doubles as a login token, send a hash of it (for example the first 16 hex characters of its SHA-256). ComplyEdge replaces any token- or key-shaped value with redacted: plus a hash before the record is written.

Prove a record was about a given text

ComplyEdge never stores the prompt or the answer. The record keeps text_hash, a keyed hash (HMAC-SHA-256) of the input under your account's own key, so it cannot be recomputed locally. Keep the event_id next to your own copy of the text, and ask the API when you need to prove the pair:

python
result = ce.check(text)app_log.info("chat turn", prompt=text, complyedge_event_id=result.event_id)  # your own log# later, in an audit or a complaint:assert ce.verify_input(result.event_id, text)  # True only for this exact text

Optional: pass receipt_journal="/var/lib/app/complyedge-receipts.jsonl" to ComplyEdge(...) (or use ReceiptJournal yourself) to append event_id, text_hash, and digests locally after each non-sandbox check. The journal never stores the prompt; your app log still holds the text.

The full walkthrough, including what happens if you delete your copy early: https://complyedge.io/docs/audit-reconciliation.html

result.text_hash_alg is "hmac-sha256-1"; records written before the keyed hash was introduced carry none and hold a plain SHA-256, which verify_input also checks.

Tell the record what only you know

The audit record can carry fields ComplyEdge cannot know: the version of your AI system, the purpose of the processing and the categories of personal data the decision used. Pass them as decision_context; they are written to the record as ADCR 0.1.0 fields (https://complyedge.io/producer-profile/). decision_context is optional: without it the check runs and is recorded, but the record does not meet ADCR class Record. When you send it, deciding_system.version, purpose_ref and data_categories ([] when none) are required; every other key is optional. check(), is_safe(), the global check() and is_safe(), check_compliance() and the decorator (a dict, or a zero-argument function read on every call) all take it.

python
result = ce.check(    text,    decision_context={        "deciding_system": {"version": "gpt-5.4-2026-08-01"},        "purpose_ref": "purpose:support-replies",        "data_categories": ["contact"],    },)

Try a case without recording it

sandbox=True calls POST /v1/sandbox/check: the same rules, the same tenant settings and the same verdict, but no audit entry, no usage and no count against your plan's daily limit (sandbox calls have their own caps: 60 a minute, 1,000 a day). Use it to test cases before wiring an integration. A sandbox result is never evidence: result.sandbox is True and result.audit_logged is False.

python
result = ce.check("Score users based on their social behavior", sandbox=True)print(result.blocked, result.sandbox)  # True True

Or the global convenience functions:

python
from complyedge import is_safe, checkimport os
api_key = os.environ["COMPLYEDGE_API_KEY"]
# Boolean checkif not is_safe(text, api_key=api_key, jurisdiction="EU"):    raise ValueError("Compliance violation")
# Full resultresult = check(text, api_key=api_key, jurisdiction="EU")

Rotating your key

Keys are shown once, at creation, and stored as a hash: a lost key cannot be recovered, only replaced. Rotate without downtime, in this order:

  1. In the dashboard, open API Key and click Rotate key on the card (or Rotate on a row under Other active keys), then confirm. A new key is minted and shown once; the old one keeps working.
  2. Put the new key in your integration (COMPLYEDGE_API_KEY or the api_key you pass to the client) and deploy.
  3. Back in the reveal, click Revoke previous key. Requests with the old key fail from that moment. If you need more time, Keep both for now and revoke it later from the API Key page, where every active key is listed.

Compromised key: revoke first (Revoke this key on the card, or Revoke on the row), then rotate. Via the API the same flow is POST /v1/account/api-keys, then DELETE /v1/account/api-keys/{key_id} for the old key.

Company name on the public trust surface

Your public AI Trust Center and Enforcement Seal show one company name: the one set in the dashboard under Account, Profile. display_name on PATCH /v1/tenant/trust sets the same value, so an API call and the profile never disagree. Email is your sign-in and cannot be changed from the dashboard.

Regions

Two regions, one home per account, chosen when you sign up and create your first API key: EU (eu.api.complyedge.io, key prefix ce_eu_) or US (api.complyedge.io, key prefix ce_). The SDK reads the prefix and picks the host. To change the region later, use Request a region change in the dashboard; you get a new key for it. base_url, region, COMPLYEDGE_API_URL, and COMPLYEDGE_REGION only choose which host to call. They do not change the account's region.

The region is where your checks run and your audit records are stored. The prompt and the AI's answer are never stored. On a paid plan, after the phrase rules pass, the injection check sends that text to OpenAI in the US when the month's model budget covers it. The wider review sends it only when you turn it on and the month's model budget covers it. It does not decide which laws are checked: the jurisdiction field on each check does. No general law requires either region. US law does not require US storage, and GDPR allows transfers outside the EU with safeguards such as standard contractual clauses (Chapter V). Choose the region your own contracts or customers ask for.

python
ce = ComplyEdge(api_key="ce_eu_...")   # -> https://eu.api.complyedge.ioce = ComplyEdge(api_key="ce_...")      # -> https://api.complyedge.io

To override, highest precedence first: base_url= (or COMPLYEDGE_API_URL), then region="us" | "eu" (or COMPLYEDGE_REGION), then the key prefix, then EU. A key presented to the other region's stack is refused with 401 {"detail": {"error": "wrong_region", "use": "<host>"}} before any lookup.

MCP Server: Use ComplyEdge as an AI Agent Tool

Agent/MCP tools that check prompts and outputs against ComplyEdge’s TrustLint corpus with cited findings: not another EU AI Act risk-tier chatbot and not a law-search database.

Hosted Streamable HTTP (preferred for remote clients): https://mcp.complyedge.io/mcp

Local stdio for any MCP-compatible host (Claude, Cursor, Inspector):

bash
pip install 'complyedge[mcp]>=0.2.8'python -m complyedge.mcp_server# or: complyedge-mcp

Add to your MCP client config (e.g. claude_desktop_config.json):

json
{  "mcpServers": {    "complyedge": {      "command": "complyedge-mcp"    }  }}

(command/args with python -m complyedge.mcp_server is also valid.)

Exposed tools (TrustLint offline YAML rule set):

ToolDescription
check_complianceCheck text against TrustLint rules. Returns PASS/FAIL with cited findings.
list_rulesList available TrustLint rules, filterable by jurisdiction.
scan_promptPre-generation prompt scan. Returns SAFE or RISK_DETECTED.

No API key is required for these tools. The optional extra installs mcp and trustlint (engine + bundled rules). This MCP path does not run the REST API policy engine.

Optional hosted sandbox. Set COMPLYEDGE_API_KEY in the server's environment and a fourth tool appears:

ToolDescription
sandbox_checkHosted enforcement in sandbox mode (POST /v1/sandbox/check): your tenant's real rules and settings, same verdict as production, and nothing recorded: no audit entry, no usage, and no count against your plan's daily limit (sandbox calls have their own caps: 60 a minute, 1,000 a day). Returns BLOCKED or ALLOWED. A phrase-rule block carries the rule ID and the article. An injection block names the law. A wider-review block does not cite an article. Never evidence.

Without the key the tool is not listed and the server stays fully offline.

On the hosted server (https://mcp.complyedge.io/mcp) sandbox_check is always listed and works only for a caller that sends its own key as the Authorization: Bearer <key> header on the MCP connection (set it in your MCP client's headers). The key is never a tool argument and never logged; the hosted server keeps no keys.

Documentation

来源:sdks/python/README.md,提交 8134ded

工具

0
SourceWeft 曾在隔离沙箱中以无凭据方式启动该软件包一次,以列出其工具,但未能完成:服务器未能启动。

版本历史

5
  1. v0.2.22最新Oct 30, 2026
  2. v0.2.21Oct 29, 2026
  3. v0.2.20Oct 25, 2026
  4. v0.2.19Oct 1, 2026
  5. v0.2.18Sep 16, 2026

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