agenticorg 0.1.0

Python SDK for AgenticOrg — run AI agents, create from SOP, manage connectors

AgenticOrg Python SDK

Run AI agents, create agents from SOPs, and manage connectors — all from Python or the terminal.

Install

pip install agenticorg

Quickstart (Python)

from agenticorg import AgenticOrg

client = AgenticOrg(api_key="your-key")

# List agents
agents = client.agents.list(domain="finance")

# Run an agent
result = client.agents.run("ap_processor", inputs={
    "invoice_id": "INV-001",
    "vendor_id": "V-100",
})
print(result["status"])      # "completed"
print(result["confidence"])  # 0.95
print(result["output"])      # {...structured result...}

# Create agent from SOP
draft = client.sop.parse_text("""
Step 1: Receive invoice from vendor
Step 2: Validate GSTIN on GST portal
Step 3: 3-way match with PO and GRN
Step 4: If amount > 5L, escalate to CFO
Step 5: Post journal entry
""", domain_hint="finance")

# Review and deploy
agent = client.sop.deploy(draft["config"])
print(agent["agent_id"])  # deployed as shadow agent

Quickstart (CLI)

# Set your API key
export AGENTICORG_API_KEY=your-key

# List agents
agenticorg agents list
agenticorg agents list --domain finance

# Run an agent
agenticorg agents run ap_processor --input '{"invoice_id": "INV-001"}'

# Parse SOP and create agent
agenticorg sop parse --file invoice_sop.pdf --domain finance

# View A2A agent card
agenticorg a2a card

# List MCP tools (for ChatGPT/Claude)
agenticorg mcp tools

Authentication

Three options:

1. API Key (dashboard users): AgenticOrg(api_key="your-key")
2. Grantex Grant Token (external agents): AgenticOrg(grantex_token="eyJ...")
3. Environment variable: AGENTICORG_API_KEY or AGENTICORG_GRANTEX_TOKEN

Resources

Resource	Methods
client.agents	list(), get(id), run(type, inputs=...), create(...)
client.connectors	list(), get(id)
client.sop	parse_text(text), upload(file), deploy(config)
client.a2a	agent_card(), agents()
client.mcp	tools(), call(name, args)

License

Apache-2.0