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The industry standard for Provenance & Intent Contracts (PIC) in Agentic AI. Bridging the Causal Gap in autonomous systems.

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PIC Standard: Provenance & Intent Contracts

PIC Standard: Provenance & Intent Contracts

The Open Protocol for Causal Governance in Agentic AI.

Quickstart (60 seconds)

Option A — Install from PyPI (recommended)

Verify an example proposal:

Expected output:

Validate schema only:

Expected output:

Option B — Install from source (dev / contributors)

Run tests:

Run the CLI:

Expected output:

Stability & Versioning

Integrations

LangGraph (anchor integration)

PIC can be enforced at the tool boundary using a LangGraph-compatible tool execution node.

This repo provides:

Expected output:

Your agent must attach a PIC proposal under a reserved argument key:

Tool binding is enforced: proposal.action.tool must match the actual tool name (payments_send).

1. The Core Thesis: Closing the "Causal Gap"

Traditional AI safety focuses on Dialogue Guardrails. However, enterprise agents operate via Side Effects (API calls, financial transfers).

The Causal Gap occurs when an agent performs a high-impact action based on instructions from an untrusted source (e.g., Indirect Prompt Injection). PIC bridges this gap by enforcing a machine-verifiable contract between Input Provenance and Action Impact.

🔍 Comparative Landscape

2. Technical Glossary

3. How It Works (The Flow)

4. v1.0 Roadmap

🤝 Community & Governance

The PIC Standard is an open-source movement. We are actively seeking:

Maintained by @fmsalvadori
 
MadeInPluto

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The industry standard for Provenance & Intent Contracts (PIC) in Agentic AI. Bridging the Causal Gap in autonomous systems.

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