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Agents AgentFlow RAG Memory Skills

Agents tutorial

  • Agents Tutorial ✓
  • 1 What is an agent ✓
  • 2 Install ✓
  • 3 Your first agent ✓
  • 4 Tools ✓
  • 5 Memory ✓
  • 6 Knowledge ✓
  • 7 Tasks ✓
  • 8 A second agent ✓
  • 9 Hand a task across ✓
  • 10 How the reply is shown ✓
  • 11 Try a job ✓
  • 12 Deploy ✓
  • 13 Score an answer ✓
  • 14 Score an agent ✓
  • 15 A function check ✓
  • 16 On a task ✓
  • 17 Attach a server ✓
  • 18 One prompt ✓
  • 19 Run ✓
  • 20 Chat ✓
  • Exercises ✓
  • Quiz ✓

Extra

  • Instructions ✓
  • Add a tool ✓
  • Process ✓
  • Architecture ✓
  • Types of agents ✓
  • Conversation ✓
  • Research agent ✓
  • Writing agent ✓
  • Data agent ✓
  • Support agent ✓
  • Personal assistant ✓
  • Check exercises ✓
  • Check quiz ✓
  • Score exercises ✓
  • Score quiz ✓
  • A fuller trace ✓
  • Stream ✓
  • A schema ✓
  • Reply exercises ✓
  • Reply quiz ✓
  • Server exercises ✓
  • Server quiz ✓
  • Command exercises ✓
  • Command quiz ✓

Agents reference

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Chat

Note: Run these in your terminal, after praisonai is installed and a key is set. Try it Yourself runs Python, not the praisonai command.

One message

praisonai chat sends one message and prints the reply.

The quoted text is that message. Run it in your terminal after the package and a key are set.

Example

praisonai chat "Hello, how can you help me today?"

Example explained

  • chat — A conversation. Here it starts with one message.

Reference: documentation

PreviousNext course: AgentFlow
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