Agentic LLM
Build applications that autonomously call agents from Agentverse marketplace for complex workflows.
Build applications with ASI:One’s agentic models that can autonomously call agents from the Agentverse marketplace and handle complex workflows. These models can discover, coordinate, and execute tasks through a network of specialized agents available on Agentverse.
Overview
ASI:One’s agentic model (asi1) is designed to automatically discover and coordinate with agents from the Agentverse marketplace to accomplish complex tasks. It handles agent selection, orchestration, and execution planning autonomously by connecting to the vast ecosystem of agents available on Agentverse.
Key Features:
- Autonomous Agent Discovery: Automatically finds relevant agents from Agentverse marketplace for your tasks
- Session Persistence: Maintains conversation context across multiple interactions
- Asynchronous Processing: Handles long-running agent workflows from Agentverse
- Streaming Support: Real-time response streaming for better UX
Quick Start
Python
cURL
JavaScript
Example Output
The exact wording and session-ID will vary, but you should always receive a direct image link once generation completes.
Session Management
Agentic models require session persistence to maintain context across agent interactions with the Agentverse marketplace. Always include the x-session-id header:
Asynchronous Agent Processing
When agents from Agentverse marketplace need time to complete tasks, the model may send a deferred response. Poll for updates:
Best Practices
Session Management
- Use UUIDs for session IDs to avoid collisions
- Store session mappings in Redis or database for production
- Include x-session-id header in every request to maintain context
Error Handling
- Implement timeouts for long-running agent tasks
- Handle network failures with exponential backoff
- Validate responses before processing agent results
Performance Optimization
- Use streaming for better user experience
- Implement async polling for deferred agent responses
Agent Coordination
- Be specific in requests to help agent discovery from Agentverse marketplace
- Allow time for complex multi-agent workflows involving Agentverse agents
- Monitor session state to understand Agentverse agent progress