export OPENAI_API_KEY=sk-...

import { Agent } from 'praisonai';

const agent = new Agent({
  name: 'Assistant',
  instructions: 'You are a helpful assistant.',
  llm: 'openai/gpt-4o-mini'
});

const response = await agent.chat('Hello!');
console.log(response);

import { Agent } from 'praisonai';

const agent = new Agent({
  name: 'CustomAgent',
  instructions: 'You are an expert analyst.',
  llm: 'openai/gpt-4o',
  llmConfig: {
    temperature: 0.7,
    maxTokens: 4096,
    topP: 0.9,
  }
});

import { Agent } from 'praisonai';

const searchTool = {
  name: 'search',
  description: 'Search the web',
  parameters: {
    type: 'object',
    properties: {
      query: { type: 'string', description: 'Search query' }
    },
    required: ['query']
  },
  execute: async ({ query }) => {
    return `Results for: ${query}`;
  }
};

const agent = new Agent({
  name: 'SearchAgent',
  instructions: 'Search for information when asked.',
  llm: 'openai/gpt-4o-mini',
  tools: [searchTool]
});

import { Agent } from 'praisonai';

const agent = new Agent({
  name: 'StreamAgent',
  instructions: 'You are helpful.',
  llm: 'openai/gpt-4o-mini'
});

for await (const chunk of agent.stream('Tell me a story')) {
  process.stdout.write(chunk);
}

import { Agent, Agents } from 'praisonai';

const researcher = new Agent({
  name: 'Researcher',
  instructions: 'Research topics thoroughly.',
  llm: 'openai/gpt-4o'
});

const writer = new Agent({
  name: 'Writer',
  instructions: 'Write clear summaries.',
  llm: 'openai/gpt-4o-mini'
});

const agents = new Agents({
  agents: [researcher, writer],
  tasks: [
    { agent: researcher, description: 'Research {topic}' },
    { agent: writer, description: 'Summarize the research' }
  ]
});

const result = await agents.start({ topic: 'AI trends' });

Error: Authentication failed

Error: Rate limit exceeded

Error: Model not found