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Documentation Index

Fetch the complete documentation index at: https://docs.enact.cloud/llms.txt

Use this file to discover all available pages before exploring further.

Your agent’s prompting and planning stay exactly as-is. You’re adding a safety layer between it and your systems. Same calls, same results — now with policy enforcement, a signed audit trail, and rollback. Three steps:
  1. Register your systems — swap your SDK clients for Enact connectors (same credentials, now policy-gated)
  2. Move your guard logic — any if/else checks you already write become Python policy functions, or use one of the 30 built-in ones
  3. Replace direct calls — tool.do_thing() becomes enact.run()

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Before (your agent today)

import github_sdk, psycopg2

# direct call — no policy check, no audit trail
github_sdk.create_pr(repo="myorg/app", branch="agent/fix-123", title="Fix bug")

# no WHERE protection — deletes every row
db.execute("DELETE FROM sessions")

​
After (wrapped with Enact)

from enact import EnactClient
from enact.connectors.github import GitHubConnector
from enact.connectors.postgres import PostgresConnector
from enact.policies.git import dont_push_to_main
from enact.policies.db import dont_delete_without_where

# one-time setup — replaces your SDK clients
enact = EnactClient(
    secret="...",
    systems={
        "github":   GitHubConnector(token="..."),
        "postgres": PostgresConnector(dsn="postgresql://..."),
    },
    policies=[dont_push_to_main, dont_delete_without_where],
)

# same intent — now policy-gated, receipt-backed, rollback-able
result, receipt = enact.run(
    workflow="agent_pr_workflow",
    user_email="agent@company.com",
    payload={"repo": "myorg/app", "branch": "agent/fix-123"},
)
Works with LangChain, CrewAI, OpenAI, Claude tool_use — any framework that can call a Python function.

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Compatibility

FrameworkWorks?Notes
LangChain✅Wrap enact.run() as a LangChain tool
CrewAI✅Use as a CrewAI tool
OpenAI tool_use✅Register enact.run in your tool definitions
Claude tool_use✅Same as OpenAI
MCP✅Enact run = one MCP tool call
Semantic Kernel✅Workflow = SK skill, hardened

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Next: Define Your First Workflow

See Concepts → Connectors to learn how to configure connectors, then Concepts → Policies to set your guardrails.