Python SDK for AgenticOrg - run agents, generate agents/workflows, use KB, A2A, and MCP
Project description
AgenticOrg Python SDK
Run AI agents, generate agents from plain English or SOPs, discover A2A/MCP tools, search knowledge, and create/run workflows from Python or the terminal.
Install
pip install agenticorg
Quickstart (Python)
from agenticorg import AgenticOrg, AgentRunResult
client = AgenticOrg(api_key="your-key")
# List agents
agents = client.agents.list(domain="finance")
# Run an agent
result: AgentRunResult = 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...}
# Buyer/seller commerce discovery via the seller commerce agent
commerce: AgentRunResult = client.agents.run(
"commerce_sales_agent",
action="buyer_discovery_preview",
inputs={
"merchant_id": "merchant_demo",
"query": "Show available laptop stands under Rs 3000",
},
)
print(commerce.status, commerce.output)
# Generate any launchable AI-template agent from skills/tools/connectors context
draft_agent = client.agents.generate(
"Create a contract intelligence agent that uses Confluence knowledge, "
"Jira issues, and vendor policy documents to review renewal risk.",
)
print(draft_agent["suggestions"][0]["agent_type"])
# Create an agent directly
agent = client.agents.create(
name="Invoice Validator - GST Specialist",
agent_type="invoice_validator_gst",
domain="finance",
llm_model="claude-3-5-sonnet-20241022",
confidence_floor=0.90,
hitl_condition="total > 500000 OR einvoice_failed==true",
authorized_tools=[
"oracle_fusion:read:purchase_order",
"gstn_api:read:validate_gstin",
],
initial_status="shadow",
)
print(agent["agent_id"]) # new agent UUID
print(agent["status"]) # "shadow"
# Create agent from SOP
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(sop_draft["config"])
print(agent["agent_id"]) # deployed as shadow agent
# Search tenant knowledge and generate/run workflows
matches = client.knowledge.search("vendor renewal policy", top_k=3)
workflow_draft = client.workflows.generate(
"When a contract renewal is 30 days away, search knowledge, check Jira, "
"ask contract_intelligence to summarize risk, then notify vendor_manager.",
)
workflow = client.workflows.create(
name="Renewal Risk Review",
definition=workflow_draft["workflow"],
domain="ops",
)
run = client.workflows.run(workflow["id"], payload={"vendor_id": "V-100"})
print(matches[0]["document_name"], run["run_id"])
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"}'
agenticorg agents run commerce_sales_agent --action buyer_discovery_preview --input '{"merchant_id":"merchant_demo"}'
# Generate agents, query knowledge, and run workflows
agenticorg agents generate "Create a contract intelligence agent using Confluence and Jira"
agenticorg knowledge search "vendor renewal policy" --top-k 3
agenticorg workflows generate "Review vendor renewal risk using KB and Jira"
agenticorg workflows run wf-123 --input '{"vendor_id":"V-100"}'
# 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:
- API Key (dashboard users):
AgenticOrg(api_key="your-key") - Grantex Grant Token (external agents):
AgenticOrg(grantex_token="eyJ...") - Environment variable:
AGENTICORG_API_KEYorAGENTICORG_GRANTEX_TOKEN
Resources
| Resource | Methods |
|---|---|
client.agents |
list(), get(id), run(type, inputs=...), create(...), generate(description, deploy=False) |
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) |
client.workflows |
templates(), list(), generate(description), create(...), get(id), run(id, payload=...), get_run(id) |
client.knowledge |
search(query, top_k=5) |
License
Apache-2.0
Project details
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