VAP – Execution Control Layer for AI Agents

"VAP is where nondeterminism stops."

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The Problem

If your agents call paid APIs directly, you don't have:

• Cost control – No budget limits, no spending caps
• Retry limits – Failed calls can loop indefinitely
• Failure ownership – No clear accountability when things go wrong

Your AI agent needs to generate an image. It calls DALL-E. The call fails. It retries. Fails again. Retries 10 more times.

You just burned $5 on nothing.

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The Solution

VAP is an Execution Control Layer that sits between AI agents and paid external APIs.

It enforces:

• Pre-commit pricing – Know exact cost before execution
• Hard budget guarantees – Reserve → Burn → Refund model
• Deterministic retry behavior – No runaway costs
• Explicit execution ownership – Every task has an owner

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How It Works

Agent: "Generate an image of a sunset"
    ↓
VAP: "That will cost $0.18. Reserving..."
VAP: "Reserved. Executing..."
VAP: "Success. Burning $0.18. Here's your image."

If it fails:

Agent: "Generate an image of a sunset"
    ↓
VAP: "That will cost $0.18. Reserving..."
VAP: "Reserved. Executing..."
VAP: "Failed. Refunding $0.18. Error: Provider timeout"

Your agent never sees the complexity. It just gets deterministic results.

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Pricing

Type	Preset	Price
Image	image.basic	$0.18
Video	video.basic	$1.96
Music	music.basic	$0.68
Campaign	streaming_campaign	$5.90
Full Production	full_production	$7.90

No surprises. No variable pricing. No "it depends."

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MCP Integration

VAP is on the official MCP Registry: io.github.elestirelbilinc-sketch/vap-e

Claude Desktop Configuration

{
  "mcpServers": {
    "vap": {
      "url": "https://api.vapagent.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Available Tools (10)

Tool	Description
generate_image	Generate AI image ($0.18)
generate_video	Generate AI video ($1.96)
generate_music	Generate AI music ($0.68)
estimate_cost	Get image generation cost
estimate_video_cost	Get video generation cost
estimate_music_cost	Get music generation cost
check_balance	Check account balance
get_task	Get task status by ID
list_tasks	List recent tasks
execute_preset	Execute named preset

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SDK Usage

Installation

pip install vape-client

Basic Usage

from vape_client import VAPClient

client = VAPClient(api_key="your_api_key")

# Cost is pre-committed: $0.18
result = client.generate_image(
    prompt="A serene mountain landscape at sunset"
)

print(f"Image URL: {result.url}")
print(f"Cost: ${result.cost}")

Async Usage

import asyncio
from vape_client import AsyncVAPClient

async def main():
    client = AsyncVAPClient(api_key="your_api_key")

    # Budget enforced, retries limited
    result = await client.generate_image(
        prompt="A futuristic cityscape"
    )
    print(f"Image URL: {result.url}")

asyncio.run(main())

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API Endpoints

Endpoint	Method	Description
/v3/generate	POST	Create media execution task
/v3/tasks/{id}	GET	Retrieve task status
/v3/tasks/{id}/result	GET	Retrieve task result
/v3/balance	GET	Check account balance

Full API Docs: api.vapagent.com/docs

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The Three Guarantees

1. Pre-Commit Pricing

Every task has a known cost before execution. No surprises.

2. Budget Enforcement

Set a max budget. VAP enforces it. Hit the limit? Task rejected. Balance protected.

3. Failure Ownership

Every task has an explicit owner. Every failure has an address. No more "the agent did something and I don't know what."

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Links

• MCP Registry: registry.modelcontextprotocol.io
• API Documentation: api.vapagent.com/docs
• MCP Endpoint: https://api.vapagent.com/mcp

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License

MIT License – see the LICENSE file for details.

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VAP – Execution Control Layer for AI Agents

"VAP is where nondeterminism stops."