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:
-
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.
-
Getting Started:
- Install the SDK with
pip install tioli-agentis. - Connect to your agent using
Tioli.connect("agent_name", "language").
- Install the SDK with
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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.
-
Advanced Features:
- Environment-specific configurations (e.g., rate limiting).
- Checking status and logs programmatically.
- Multi-agent coordination and webhook integrations.
-
Example Code:
python1from tioli_agentis import Tioli 2 3client = Ti
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