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@aiprovenance/sentry

v0.1.33

Published

Sentry integration for AI code attribution

Readme

@aiprovenance/sentry

Sentry integration for AI code attribution.

Install

npm install @aiprovenance/sentry
# or
yarn add @aiprovenance/sentry

Quick Start

import * as Sentry from "@sentry/node";
import { createDevMemoryBeforeSend } from "@aiprovenance/sentry";

Sentry.init({
  dsn: process.env.SENTRY_DSN,
  beforeSend(event, hint) {
    return createDevMemoryBeforeSend()(event, hint);
  },
});

That's it! Auto-detects:

  • repoId from DEVMEMORY_REPO_ID env or git remote
  • sqlitePath from DEVMEMORY_SQLITE_PATH env or .devmemory/config.json
  • mode from DEVMEMORY_MODE env (default: local)

Options

| Option | Type | Default | Description | |--------|------|---------|-------------| | repoId | string | auto-detect | Repository ID | | mode | "local" | "cloud" | local | Local (SQLite) or Cloud (AMS) | | apiUrl | string | env | AMS API URL (cloud mode) | | sqlitePath | string | .devmemory/attributions.db | SQLite path | | timeout | number | 2000 | Request timeout (ms) |

What You Get

Every Sentry error includes:

Tags:
  ai_tool: cursor
  ai_model: gpt-4o
  ai_origin: ai

Contexts:
  ai_attribution:
    author: ai
    tool: cursor
    model: gpt-4o
    filepath: src/auth/login.ts
    lineno: 42

Local vs Cloud

| Mode | Storage | Use Case | |------|---------|----------| | local | SQLite file | Development, no external services | | cloud | AMS API | Production, team shared data |

Setup

1. Install DevMemory CLI

pip install devmemory
devmemory install --mode local

2. Add Sentry Integration

// sentry.client.config.ts
import * as Sentry from "@sentry/nextjs";
import { createDevMemoryBeforeSend } from "@devmemory/sentry";

Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  beforeSend(event, hint) {
    return createDevMemoryBeforeSend({
      repoId: "my-nextjs-app",
      mode: "local", // works offline!
      sqlitePath: ".devmemory/attributions.db",
    })(event, hint);
  },
});

License

MIT