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Truthlocks MAIP integration for LangChain — auto-generate cryptographic receipts for every chain and agent action

Project description

truthlocks-langchain

Cryptographic receipt generation for every LangChain chain, agent, and tool invocation. Part of the Truthlocks MAIP (Machine-Attested Identity Protocol) ecosystem.

Installation

pip install truthlocks-langchain

Quick Start

from truthlocks_langchain import MAIPCallbackHandler

# Create the receipt handler
handler = MAIPCallbackHandler()

# Attach to any LangChain chain
chain.invoke(input, config={"callbacks": [handler]})

# Every LLM call, tool use, and chain step now produces
# a cryptographic receipt anchored to a tamper-proof log

API

Class Description
MAIPCallbackHandler LangChain callback that auto-generates MAIP receipts for every event in a chain run
MAIPRunnableWrapper Wraps any LangChain Runnable to emit receipts on .invoke() / .stream() / .batch()
MAIPTracer Full tracing integration that produces a receipt tree matching the LangChain call graph

What You Get

  • Tamper-proof audit trail for every LLM call, retrieval, and tool invocation
  • Cryptographic receipts anchored to a transparency log with sub-40 ms latency
  • Zero-config drop-in integration -- add the callback and receipts flow automatically
  • Compliance-ready evidence packages for SOC 2 Type II, ISO 27001, and EU AI Act

How It Works

truthlocks-langchain is a thin wrapper around maip-ai-connectors, the core Truthlocks MAIP SDK for Python. It re-exports the LangChain-specific classes so you can install only what you need.

Requirements

Documentation

Full guides, API reference, and examples: docs.truthlocks.com/sdk/langchain

License

Apache 2.0 -- see LICENSE.

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