PromptisePromptise
Docs
GitHub
Promptise - AI Framework LogoPromptise

The foundation layer for agentic intelligence. Build, secure and operate autonomous AI systems with Promptise Foundry.

pip install promptise

[01] Foundry

  • MCPcast
  • The Promptise Agent
  • Reasoning Engine
  • MCP
  • Agent Runtime
  • Prompt Engineering
  • Execution Engine
  • Agent Identity

[02] Resources

  • Documentation
  • GitHub
  • Guides
  • Learning Paths
  • Questions

[03] Company

  • About
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
  • Subprocessors

© 2026 Promptise by Manser Ventures. All rights reserved.

Open source · Python

← Guides> Library> Topic

AI governance and compliance for LLM systems

Governance is the set of rules and records that keep an AI system accountable: what it may do, who answers for it, and how you show it stayed within bounds. Some of it is law. The EU AI Act sets duties for providers of general-purpose AI models, for high-risk uses and for transparency, phased in over several years.

Much of it is engineering: budgets and policies that limit an autonomous agent, controls on what a self-modifying agent may change, a record of which models and dependencies a system relies on, and audit logs that prove what happened. These guides cover the EU AI Act for LLM builders, governing autonomous and self-modifying agents, supply chain trust and tamper-evident audit logs.

[n.01/02]> 5 guides
  1. 01AI Agent Audit Logging: Tamper-Evident Logs in PythonLog every AI agent tool call to an HMAC-chained file, then catch edits, deletions and reordering with one command. Real tamper tests, real output.Intermediate · 15 minOct 11, 2026
  2. 02LLM Supply Chain Security: Models, Packages, Data and ToolsLLM supply chain security as a checklist: inventory models, data and tools, pin and verify hashes, load safe formats, check provenance and plan fallbacks.Intermediate · 9 minOct 18, 2026
  3. 03EU AI Act for LLM Developers: Obligations and Dates (2026)What the EU AI Act means for LLM developers: roles, risk categories, Article 50 transparency, high-risk and GPAI duties, and dates after the 2026 Omnibus.Intermediate · 14 minOct 18, 2026
  4. 04Autonomous AI Agent Runtime: Budgets, Crash Recovery, APIRun an autonomous AI agent runtime in Python: budgets for irreversible actions, restarts, kill -9 recovery, missions and an API, tested on real runs.Advanced · 18 minOct 11, 2026
  5. 05Self-Modifying AI Agent in Python: Open Mode & LimitsBuild a self-modifying AI agent in Python with Promptise open mode: meta-tools, hot reload, the guardrails that bound it, and honest measured limits.Advanced · 16 minOct 11, 2026
[n.02/02]> go further

Related topics

  • Model Context Protocol (MCP)37
  • Agent Runtime7
  • Audit Logging and Monitoring4
  • Self-Correction and Reflection4

Topic hubs

  • Tools and the Model Context Protocol (MCP)→
  • Agent reasoning patterns→
  • Guardrails and security→
  • Runtime, triggers and deployment→

By category and level

  • AI Engineering guides71
  • LLM Security guides10
  • Intermediate guides80
  • Advanced guides24

Search every guide.

The library lists all guides with filters for topic, level, category and reading time.

All guidesLearning paths