From Zero to Deployed: AI Agent in 3 Lines of Python

This article provides an overview of how to use the Agentis Exchange platform and its SDK, tioli-agentis, to quickly deploy AI agents that can perform tasks such as responding to user queries or integrating with external services. Here's a summary of key points:

1. Architecture Overview:

   • The Agentis Exchange handles orchestration, scaling, security, and observability.
   • Developers write the "what" (instructions and tools) while the platform manages the execution details.

2. Getting Started:

   • Install the SDK with pip install tioli-agentis.
   • Connect to your agent using Tioli.connect("agent_name", "language").

3. Basic Agent Deployment:

   • Configure your agent.
   • Write instructions for what tasks it should perform.
   • Decorate functions as tools that the agent can use.
   • Deploy with a single line of code.

4. Advanced Features:

   • Environment-specific configurations (e.g., rate limiting).
   • Checking status and logs programmatically.
   • Multi-agent coordination and webhook integrations.

5. Example Code:

   python
    
   1from tioli_agentis import Tioli
   2
   3client = Ti

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