Telnyx Ai Assistants Python

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by team-telnyx · vlatest · Repository

Helps with AI, Python as part of developing backend services and APIs workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add telnyx-ai-assistants-python npx -- -y @trustedskills/telnyx-ai-assistants-python
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "telnyx-ai-assistants-python": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/telnyx-ai-assistants-python"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides Python integration for Telnyx AI Assistants. It allows you to execute custom Python code within your AI Assistant workflows, enabling complex logic and data processing beyond the capabilities of standard prompt engineering. This facilitates tasks like accessing external APIs, performing calculations, or manipulating data in a structured way.

When to use it

  • Data Transformation: You need to process user input or API responses before presenting them back to the user.
  • API Integration: You want your AI Assistant to interact with services that require custom Python code for authentication or data handling.
  • Complex Calculations: The AI assistant needs to perform calculations beyond simple arithmetic, such as financial modeling or statistical analysis.
  • Custom Logic Execution: You need to implement specific business rules or workflows within the AI Assistant's response generation process.

Key capabilities

  • Python code execution within Telnyx AI Assistants
  • Integration with external APIs via Python libraries
  • Data manipulation and transformation using Python
  • Support for custom logic and calculations

Example prompts

  • "Can you fetch the current weather in London and format it as a JSON object?"
  • "Calculate the compound interest on $10,000 at 5% annually for 3 years."
  • "Retrieve customer order history from our internal database using this SQL query: [SQL Query]"

Tips & gotchas

  • Ensure your AI Assistant has access to the necessary Python libraries and dependencies.
  • Be mindful of security implications when executing custom code, especially if it interacts with external services.

Tags

🛡️

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Details

Version
vlatest
License
Author
team-telnyx
Installs
7

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Passed automated security scans.