agent-gov-saas 0.6.0

AI Agent Cost Governance — policy engine, budget enforcement, per-tool cost tracking, multi-tenant workspaces

🛡 agent-gov

AI Agent Cost Governance Platform

A reverse proxy that tracks, budgets, and controls what your AI agents spend. Like a credit card with limits — but for your agents.

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What Problem Does This Solve?

AI agents call expensive tools (LLMs, browsers, APIs, email services). Without controls:

• A recursive agent burns ₹5,000 in one night on GPT-4
• A buggy loop sends 10,000 emails before you notice
• You discover the bill when your credit card statement arrives

agent-gov sits between your agents and their tools. Every call goes through us. We check budgets, track costs, and auto-pause overspending agents.

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Quick Start

1. Install

pip install agent-gov-saas

2. Start the server

agent-gov start

Server starts at http://localhost:8000.

Alternatively, use Docker: docker compose up (see GitHub repo for docker-compose.yml).

3. Register an Agent

curl -X POST http://localhost:8000/agents/register \
  -H "Content-Type: application/json" \
  -d '{"name": "My Bot", "daily_budget": 500}'

Response:

{
  "api_key": "ag-abc123...",
  "name": "My Bot",
  "daily_budget": 500,
  "message": "Save this API key — it won't be shown again!"
}

4. Route Agent Calls Through the Proxy

Instead of calling tools directly, your agent calls our proxy:

# BEFORE (no governance):
response = call_openai(prompt)

# AFTER (with agent-gov):
gov_response = requests.post("http://localhost:8000/proxy/call", json={
    "agent_key": "ag-abc123...",
    "tool_name": "openai-gpt4",
    "estimated_cost": 12.50   # ₹12.50 for this call
})
if gov_response.status_code == 429:
    print("Budget exceeded! Agent auto-paused.")
else:
    response = call_openai(prompt)  # Proceed with actual call

5. Watch the Dashboard

Open http://localhost:8000/dashboard — live view of all agents, their spend, and budget status.

6. (Optional) Pre-Register Common Tools

# Register 24 common AI tools with realistic costs (₹)
python seed_tools.py

# Preview before registering:
python seed_tools.py --list

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API Reference

Method	Endpoint	Description
GET	/	Health check + stats
POST	/agents/register	Create agent, get API key
POST	/proxy/call	Proxy a tool call (budget checking + real cost lookup)
POST	/agents/{key}/resume	Resume a paused agent (resets budget)
POST	/agents/{key}/reset	Reset daily budget counters (no unpause)
POST	/workspaces	Create a workspace (returns API key)
GET	/workspaces	List all workspaces
POST	/tools/register	Register a tool with its known cost per call
GET	/tools	List all registered tools
GET	/analytics/tools	Per-tool spend statistics
GET	/dashboard	Live HTML dashboard
GET	/docs	Interactive OpenAPI docs (Swagger)

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Features

Feature	What it does
Budget enforcement	Auto-pause agents that exceed their daily budget
Tool registry	Register tools with known costs — agents can't lie about pricing
Real cost lookup	Proxy uses registered tool cost, not client estimate
Per-tool analytics	See spend broken down by tool, not just by agent
Daily auto-reset	Budgets reset automatically at midnight
Multi-tenancy	Workspaces for teams, projects, or clients
Dashboard	Live HTML dashboard with per-agent and per-tool views
CLI	agent-gov start / status / version
Docker	Ready-to-run Docker Compose setup

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Architecture

Agent (your code)
    │
    │ POST /proxy/call { agent_key, tool_name, estimated_cost }
    ▼
┌──────────────────────────────┐
│         agent-gov             │
│                                │
│  1. Auth: Is key valid?       │
│  2. Budget: Will this exceed? │
│  3. Log: Track cost + tool    │
│                                │
│  If approved → return 200     │
│  If denied  → return 429     │
└──────────────────────────────┘
    │
    │ Agent calls actual tool
    ▼
┌──────────────────────────────┐
│   Actual Tool (OpenAI, etc.)  │
└──────────────────────────────┘

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Technology Stack

Component	Technology	Why
API Framework	FastAPI	Fast, async, auto-docs
Validation	Pydantic	Type-safe input validation
Server	Uvicorn	Production ASGI server
Storage	SQLite via aiosqlite	Persistent, zero setup
Templates	Jinja2	Server-rendered dashboard
Tool Registry	SQLite + UPSERT	Known tool costs, agents can't lie
Workspaces	SQLite + migrations	Multi-tenancy with workspace isolation
Testing	pytest + httpx	Fast, isolated tests

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License

MIT