Add TypeScript documentation and examples for AI agent tools

- Expanded documentation for TypeScript AI agents with tool registration examples - Added new documentation pages for custom tools in TypeScript - Updated installation and quickstart guides to include TypeScript sections - Created example scripts demonstrating single and multi-agent tool usage - Introduced new documentation for external tools like Google Trends
MervinPraison · Mar 4, 2025 · 52461d2 · 52461d2
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diff --git a/docs/index.mdx b/docs/index.mdx
@@ -114,27 +114,53 @@ agents.start()
     </Steps>
   </Tab>
   <Tab title="No Code">
-    <Tip>
-        PraisonAI combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration.
-    </Tip>
     <Steps>
       <Step title="Install Package">
+        Install the No Code PraisonAI Package:
         ```bash
-        pip install praisonai
+        pip install praisonaiagents
         ```
       </Step>
+
       <Step title="Set API Key">
         ```bash
-        export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+        export OPENAI_API_KEY=your_openai_key
         ```
       </Step>
-      <Step title="Auto Mode">
-        ```bash
-        praisonai --auto create a movie script about Robots in Mars
-        ```
 
-        This will automatically create required agents and complete the task
+      <Step title="Create Config">
+        Create `agents.yaml`:
+
+    <CodeGroup>
+      ```yaml Single Agent
+      roles:
+        summarise_agent:
+          instructions: Summarise Photosynthesis
+      ```
+
+      ```yaml Multiple Agents
+      roles:
+        diet_agent:
+          instructions: Give me 5 healthy food recipes
+        blog_agent:
+          instructions: Write a blog post about the food recipes
+      ```
+    </CodeGroup>
 
+<Note>
+You can automatically create `agents.yaml` using:
+```bash
+praisonai --init "your task description"
+```
+</Note>
+
+      </Step>
+
+      <Step title="Run Agents">
+        Execute your config:
+        ```bash
+        praisonai agents.yaml
+        ```
       </Step>
     </Steps>
   </Tab>
@@ -180,6 +206,68 @@ agents.start();
       </Step>
     </Steps>
   </Tab>
+  <Tab title="TypeScript">
+    <Steps>
+      <Step title="Install Package">
+        <CodeGroup>
+        ```bash npm
+        npm install praisonai
+        ```
+        ```bash yarn
+        yarn add praisonai
+        ```
+        </CodeGroup>
+      </Step>
+      <Step title="Set API Key">
+        ```bash
+        export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+        ```
+      </Step>
+      <Step title="Create File">
+        Create `app.ts` file
+
+        ## Code Example
+
+<CodeGroup>
+```javascript Single Agent
+import { Agent } from 'praisonai';
+
+const agent = new Agent({ 
+  instructions: `You are a creative writer who writes short stories with emojis.`,
+  name: "StoryWriter"
+});
+
+agent.start("Write a story about a time traveler")
+```
+
+```javascript Multi Agents
+import { Agent, PraisonAIAgents } from 'praisonai';
+
+const storyAgent = new Agent({
+  instructions: "Generate a very short story (2-3 sentences) about artificial intelligence with emojis.",
+  name: "StoryAgent"
+});
+
+const summaryAgent = new Agent({
+  instructions: "Summarize the provided AI story in one sentence with emojis.",
+  name: "SummaryAgent"
+});
+
+const agents = new PraisonAIAgents({
+  agents: [storyAgent, summaryAgent]
+});
+
+agents.start()
+```
+</CodeGroup>
+      </Step>
+      <Step title="Run Script">
+        ```bash
+        npx ts-node app.ts
+        ```
+      </Step>
+    </Steps>
+  </Tab>
 </Tabs>
 
 ## AI Agents Flow

diff --git a/docs/installation.mdx b/docs/installation.mdx
@@ -14,6 +14,9 @@ pip install praisonai
 ```bash JavaScript
 npm install praisonai
 ```
+```bash TypeScript
+npm install praisonai
+```
 </RequestExample>
 
 <Note>
@@ -109,6 +112,22 @@ Follow these steps to set up PraisonAI in your development environment.
         </Step>
     </Steps>
   </Tab>
+  <Tab title="TypeScript">
+    <Steps>
+        <Step title="Install PraisonAI">
+            Install the PraisonAI package:
+            ```bash
+            npm install praisonai
+            ```
+        </Step>
+        <Step title="Set API Key">
+            Set your OpenAI API key as an environment variable in your terminal:
+            ```bash
+            export OPENAI_API_KEY=your_openai_key
+            ```
+        </Step>
+    </Steps>
+  </Tab>
 </Tabs>
 
 Generate your OpenAI API key from [OpenAI](https://platform.openai.com/api-keys)

diff --git a/docs/introduction.mdx b/docs/introduction.mdx
@@ -248,6 +248,68 @@ agents.start();
       </Step>
     </Steps>
   </Tab>
+  <Tab title="TypeScript">
+    <Steps>
+      <Step title="Install Package">
+        <CodeGroup>
+        ```bash npm
+        npm install praisonai
+        ```
+        ```bash yarn
+        yarn add praisonai
+        ```
+        </CodeGroup>
+      </Step>
+      <Step title="Set API Key">
+        ```bash
+        export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+        ```
+      </Step>
+      <Step title="Create File">
+        Create `app.ts` file
+
+        ## Code Example
+
+<CodeGroup>
+```javascript Single Agent
+import { Agent } from 'praisonai';
+
+const agent = new Agent({ 
+  instructions: `You are a creative writer who writes short stories with emojis.`,
+  name: "StoryWriter"
+});
+
+agent.start("Write a story about a time traveler")
+```
+
+```javascript Multi Agents
+import { Agent, PraisonAIAgents } from 'praisonai';
+
+const storyAgent = new Agent({
+  instructions: "Generate a very short story (2-3 sentences) about artificial intelligence with emojis.",
+  name: "StoryAgent"
+});
+
+const summaryAgent = new Agent({
+  instructions: "Summarize the provided AI story in one sentence with emojis.",
+  name: "SummaryAgent"
+});
+
+const agents = new PraisonAIAgents({
+  agents: [storyAgent, summaryAgent]
+});
+
+agents.start()
+```
+</CodeGroup>
+      </Step>
+      <Step title="Run Script">
+        ```bash
+        npx ts-node app.ts
+        ```
+      </Step>
+    </Steps>
+  </Tab>
 </Tabs>
 
 ## Key Features

diff --git a/docs/js/customtools.mdx b/docs/js/customtools.mdx
@@ -0,0 +1,50 @@
+---
+title: "Custom Tools for TypeScript AI Agents"
+sidebarTitle: "Custom Tools"
+description: "Learn how to create custom tools for TypeScript AI Agents"
+icon: "toolbox"
+---
+
+## Single Agent
+
+```typescript
+import { Agent } from 'praisonai';
+
+async function getWeather(location: string) {
+  console.log(`Getting weather for ${location}...`);
+  return `${Math.floor(Math.random() * 30)}°C`;
+}
+
+const agent = new Agent({ 
+  instructions: `You provide the current weather for requested locations.`,
+  name: "DirectFunctionAgent",
+  tools: [getWeather]
+});
+
+agent.start("What's the weather in Paris, France?");
+``` 
+
+## Multi Agents
+
+```typescript
+import { Agent } from 'praisonai';
+
+async function getWeather(location: string) {
+  console.log(`Getting weather for ${location}...`);
+  return `${Math.floor(Math.random() * 30)}°C`;
+}
+
+async function getTime(location: string) {
+  console.log(`Getting time for ${location}...`);
+  const now = new Date();
+  return `${now.getHours()}:${now.getMinutes()}`;
+}
+
+const agent = new Agent({ 
+  instructions: `You provide the current weather and time for requested locations.`,
+  name: "DirectFunctionAgent",
+  tools: [getWeather, getTime]
+});
+
+agent.start("What's the weather and time in Paris, France and Tokyo, Japan?");
+``` 
diff --git a/docs/js/typescript.mdx b/docs/js/typescript.mdx
@@ -268,74 +268,12 @@ agents.start()
 ## Tool Calls Examples
 
 <AccordionGroup>
-  <Accordion title="Single Agent Tool Call" icon="wrench" defaultOpen>
-    Create an agent that can use tools to get information:
-
-```typescript
-import { Agent } from 'praisonai';
-
-/**
- * Example of a simple agent with tool calling capability
- * 
- * This example demonstrates how to create a simple agent that can use tools
- * to get weather information for a location.
- */
-
-// Define a weather tool
-const getWeather = {
-  type: "function",
-  function: {
-    name: "get_weather",
-    description: "Get current temperature for a given location.",
-    parameters: {
-      type: "object",
-      properties: {
-        location: {
-          type: "string",
-          description: "City and country e.g. Bogotá, Colombia"
-        }
-      },
-      required: ["location"],
-      additionalProperties: false
-    },
-    strict: true
-  }
-};
-
-// Make the function globally available
-// The agent will automatically find and use this function
-(global as any).get_weather = async function(location: string) {
-    console.log(`Getting weather for ${location}...`);
-    return `20°C`;
-};
-
-// Create an agent with the weather tool
-const agent = new Agent({ 
-  instructions: `You provide the current weather for requested locations.`,
-  name: "WeatherAgent",
-  tools: [getWeather]
-});
-
-// Start the agent with a prompt that will trigger tool usage
-agent.start("What's the weather in Paris, France?");
-```
-  </Accordion>
-
   <Accordion title="Direct Function Tools" icon="code" defaultOpen>
     Create an agent with directly registered function tools:
 
 ```typescript
 import { Agent } from 'praisonai';
 
-/**
- * Example of a simple agent with direct function registration
- * 
- * This example demonstrates how to create a simple agent that uses directly
- * registered functions as tools without having to define tool schemas manually
- * or make functions globally available.
- */
-
-// Define the functions directly
 async function getWeather(location: string) {
   console.log(`Getting weather for ${location}...`);
   return `${Math.floor(Math.random() * 30)}°C`;
@@ -347,15 +285,12 @@ async function getTime(location: string) {
   return `${now.getHours()}:${now.getMinutes()}`;
 }
 
-// Create an agent with directly registered functions
 const agent = new Agent({ 
   instructions: `You provide the current weather and time for requested locations.`,
   name: "DirectFunctionAgent",
-  // Register functions directly as an array without needing to make them global
   tools: [getWeather, getTime]
 });
 
-// Start the agent with a prompt that will trigger tool usage
 agent.start("What's the weather and time in Paris, France and Tokyo, Japan?");
 ```
   </Accordion>

diff --git a/docs/mint.json b/docs/mint.json
@@ -244,7 +244,14 @@
       "group": "JavaScript",
       "pages": [
         "js/js",
-        "js/typescript",
+        {
+          "group": "TypeScript Agents",
+          "icon": "subscript",
+          "pages": [
+            "js/typescript",
+            "js/customtools"
+          ]
+        },
         "js/nodejs",
         "js/typescript-async",
         "js/development"