omnidimension 0.2.17

SDK and MCP Server for Omni Assistant services

OmniDimension Python SDK

Build and ship AI voice agents from a single prompt.

OmniDimension lets you build, test, and deploy reliable voice AI assistants by simply describing them in plain text. The platform offers rigorous simulation testing and real-time observability, making it easy to debug and monitor agents in production.

👉 Try the Web UI — You can also build and test voice agents visually using our no-code interface.

---

🚀 Features

• Prompt-based creation: Define voice agents with natural language.
• Drag-and-drop editor: Chat or visually edit flows, voices, models, and more.
• Prebuilt templates: Use plug-and-play agent templates for common use cases.
• Testing & monitoring: Simulate edge cases and debug live calls.
• Knowledge Base support: Upload and attach documents (PDFs) for factual grounding.
• Integrations: Connect to external APIs, CRMs, or tools like Cal.com.
• Phone agents: Assign numbers and initiate real voice calls via the SDK.

---

📦 Installation

Basic SDK

pip install omnidimension

With MCP Server Support

pip install omnidimension[mcp]

Requires Python 3.9+

---

🔐 Authentication

First, obtain your API key from the OmniDimension dashboard. Store it in your environment variables:

Linux/macOS

export OMNIDIM_API_KEY="your_api_key_here"

Windows (CMD)

set OMNIDIM_API_KEY=your_api_key_here

In Python

import os
from omnidimension import Client

api_key = os.environ.get("OMNIDIM_API_KEY")
client = Client(api_key)

---

✨ SDK Usage

from omnidimension import Client

# Initialize the client with your API key
client = Client(api_key="your_api_key")

# List agents
agents = client.agent.list()
print(agents)

---

🛰️ MCP Server Usage

You can run the MCP server in several ways:

1. Using the Python module:

python -m omnidimension.mcp_server --api-key your_api_key

2. Using the CLI entry point:

omnidim-mcp-server --api-key your_api_key

3. Using the compatibility module (for MCP clients):

python -m omnidim_mcp_server --api-key your_api_key

You can also set the API key using the environment variable:

export OMNIDIM_API_KEY=your_api_key
python -m omnidimension.mcp_server

---

⚙️ MCP Client Configuration

To use OmniDimension with MCP clients like Claude Desktop, save the following configuration to a file named omnidim_mcp.json:

{
  "mcpServers": {
    "omnidim-mcp-server": {
      "command": "python3",
      "args": [
        "-m",
        "omnidim_mcp_server"
      ],
      "env": {
        "OMNIDIM_API_KEY": "<your_omnidim_api_key>"
      }
    }
  }
}

---

📡 Providers API

The Providers API allows you to discover and explore all available AI providers for LLMs, voices, STT, and TTS services.

Quick Examples

# Get all LLM providers
llms = client.providers.list_llms()
print(f"[SUCCESS] Found {llms['total']} LLM providers")

# List voices with pagination
voices = client.providers.list_voices(page=1, page_size=50)
print(f"[SUCCESS] Found {voices['total']} voices")

![INFO] Complete Providers Documentation

---

📚 Knowledge Base

files = client.knowledge_base.list()
print(files)

file_ids = [123]
agent_id = 456
response = client.knowledge_base.attach(file_ids, agent_id)
print(response)

---

🔌 Integrations

response = client.integrations.create_custom_api_integration(
    name="WeatherAPI",
    url="https://api.example.com/weather",
    method="GET"
)
print(response)

client.integrations.add_integration_to_agent(agent_id=123, integration_id=789)

---

☎️ Phone Number Management

numbers = client.phone_number.list(page=1, page_size=10)
print(numbers)

client.phone_number.attach(phone_number_id=321, agent_id=123)

---

📞 Bulk Call Management

# First, get your phone number IDs
phone_numbers = client.phone_number.list()
phone_number_id = phone_numbers['phone_numbers'][0]['id']  # Use the first available phone number

# Create a bulk call campaign
contact_list = [
    {
        "phone_number": "[phone]",
        "customer_name": "John Doe",
        "product_interest": "Premium Plan"
    },
    {
        "phone_number": "[phone]", 
        "customer_name": "Jane Smith",
        "product_interest": "Basic Plan"
    }
]

# Create immediate bulk call
bulk_call = client.bulk_call.create_bulk_calls(
    name="Marketing Campaign - Q4 2024",
    contact_list=contact_list,
    phone_number_id=phone_number_id
)

# Create scheduled bulk call
scheduled_call = client.bulk_call.create_bulk_calls(
    name="Scheduled Campaign",
    contact_list=contact_list,
    phone_number_id=phone_number_id,
    is_scheduled=True,
    scheduled_datetime="2024-12-25 10:00:00",
    timezone="America/New_York"
)

# Fetch all bulk calls
bulk_calls = client.bulk_call.fetch_bulk_calls(page=1, page_size=10, status="active")

# Get bulk call details
details = client.bulk_call.detail_bulk_calls(bulk_call_id=123)

# Control bulk call actions
client.bulk_call.bulk_calls_actions(bulk_call_id=123, action="pause")
client.bulk_call.bulk_calls_actions(bulk_call_id=123, action="resume")
client.bulk_call.bulk_calls_actions(
    bulk_call_id=123, 
    action="reschedule",
    new_scheduled_datetime="2024-12-26 14:00:00",
    new_timezone="America/New_York"
)

# Cancel bulk call
client.bulk_call.cancel_bulk_calls(bulk_call_id=123)

---

📁 Recommended Project Structure

/docs/
  ├── agents/
  ├── calling/
  ├── integrations/
  ├── knowledge_base/
  └── phone_numbers/

/examples/         # Sample Python scripts
/cookbook/         # Ready-made project use cases

---

🌐 Learn More

Visit omnidim.io to explore the full platform, UI builder, and templates.