Canso - ML Platform
  • 👋Introduction
  • 🏛️Canso Architecture
  • 💻Getting Started
    • 🏁Overview
    • 🌌Provison K8s Clusters
    • 🚢Install Canso Helm Charts
    • 🐍🔗 Canso Python Client & Web App
    • 📊Health Metrics for Features in the Data Plane
  • 💡Feature Store
    • Data Sources
      • Data Spans
    • Data Sinks
    • ML Features
      • Raw ML Batch Feature
      • Derived ML Batch Feature
      • Raw ML Streaming Feature
      • Custom User Defined Function
  • 💡AI Agents
    • Introduction
    • Getting Started
    • Quickstart
    • Use Cases
      • Fraud Analyst Agent
      • Agent with Memory
      • Memory command examples
    • Concepts
      • Task Server
      • Broker
      • Checkpoint DB
      • Conversation History
      • Memory
    • How Tos
      • Update the AI Agent
      • Delete the AI Agent
    • Toolkit
      • SQL Runner
      • Kubernetes Job
      • Text-to-SQL
    • API Documentation
      • Agent
      • Memory
  • 💡Risk
    • Overview
    • Workflows and Rules
    • Real Time Transaction Monitoring
    • API Documentation
  • 💡Fraud Investigation
    • API Documentation
  • 📝Guides
    • Registry
    • Dry Runs for Batch ML Features
    • Deployment
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  1. 💡AI Agents
  2. How Tos

Update the AI Agent

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Last updated 3 months ago

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All the configurations in the AI Agent's file along with the AI agent's container image can be updated using the gru agent update command.

To update the configurations in the config.yaml file, make the changes in the file and execute the following command:

gru agent update .

To update the container image of the AI Agent, execute the following command:

gru agent update . --image=<new_image>

Note: . represents the context path of the AI Agent folder. Use the path of the AI agent folder if the command is being executed from a different directory.

config.yaml