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Flight recorder for AI agents - append-only, tamper-evident tool execution logs

Project description

Lightbox

Flight recorder for AI agents. Append-only, tamper-evident tool execution logs.

What it is / isn't

  • Records tool calls (send_email, read_file, api_call) - not LLM prompts/responses
  • Append-only JSONL with SHA-256 hash chaining
  • Offline verification - no network needed
  • Local-first - sessions are portable directories you can zip and share
  • Not a debugger, profiler, or execution controller - recording only

Quickstart

pip install lightbox-rec

SDK Usage

from lightbox import Session

session = Session()
session.emit("send_email", {"to": "user@example.com"}, {"success": True})
session.emit("read_file", {"path": "/data.txt"}, {"content": "Hello"})

LangChain Integration

from lightbox.integrations.langchain import wrap

agent = wrap(your_agent)  # Automatically records tool calls
agent.invoke({"input": "Do the thing"})

CLI

lightbox list                    # Show all sessions
lightbox show <session>          # Display events
lightbox replay <session>        # Animated playback
lightbox verify <session>        # Check integrity

Where logs live

~/.lightbox/sessions/<session_id>/
    events.jsonl     # Append-only event log
    meta.json        # Session metadata

Override with LIGHTBOX_DIR environment variable.

Exit codes (verify)

Code Status Meaning
0 VALID All checks pass
1 TAMPERED Hash mismatch or chain break
2 TRUNCATED Incomplete last line (crash mid-write)
3 PARSE_ERROR Invalid JSON in event file
4 NOT_FOUND Session doesn't exist

Redaction

from lightbox import Session, RedactionConfig

config = RedactionConfig(
    redact_keys=["api_key", "password"],  # Always redact
    max_inline_bytes=64 * 1024,           # Hash content over 64KB
)
session = Session(redaction_config=config)

Documentation

License

MIT - see LICENSE

Project details


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