fix: groq added

js/examples/newsletter_twitter_threads/demo.mjs

@@ -1,4 +1,5 @@
 import { openai } from "@ai-sdk/openai";
+import {groq} from '@ai-sdk/groq'
 import { VercelAIToolSet } from "composio-core";
 import dotenv from "dotenv";
 import { generateText } from "ai";
@@ -36,7 +37,7 @@ async function executeAgent(entityName) {
 
   // Generate text using the model and tools
   const output = await generateText({
-    model: openai("gpt-4o"),
+    model: groq("llama-3.3-70b-versatile"),
     streamText: false,
     tools: tools,
     prompt: `

python/examples/advanced_agents/recruiter_agent/.env.example

@@ -0,0 +1,3 @@
+OPENAI_API_KEY=KEY
+COMPOSIO_API_KEY=KEY
+AGENTOPS_API_KEY=KEY

python/examples/advanced_agents/recruiter_agent/main.py

@@ -0,0 +1,47 @@
+from composio_llamaindex import ComposioToolSet, App, Action
+from llama_index.core.agent import FunctionCallingAgentWorker
+from llama_index.core.llms import ChatMessage
+from llama_index.llms.openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+
+load_dotenv()
+import agentops
+agentops.init(os.getenv("AGENTOPS_API_KEY"))
+
+
+toolset = ComposioToolSet(api_key=os.getenv("COMPOSIO_API_KEY"))
+tools = toolset.get_tools(apps=[App.PEOPLEDATALABS, App.GOOGLESHEETS])
+
+llm = OpenAI(model="gpt-4o") #Groq(model="llama3-groq-70b-8192-tool-use-preview")
+
+spreadsheetid = '14T4e0j1XsWjriQYeFMgkM2ihyvLAplPqB9q8hytytcw'
+# Set up prefix messages for the agent
+prefix_messages = [
+    ChatMessage(
+        role="system",
+        content=(
+            f"""
+            Use the Google Sheets Action to add data to the google sheet 
+            You are a recruiter agent. Based on user input, identify 10 highly qualified candidates using People Data Labs.
+            After identifying the candidates, create a Google Sheet and add their details for the provided candidate description, and spreadsheet ID: ${spreadsheetid}.
+            Print the list of candidates and their details along with the link to the Google Sheet.
+            """
+        ),
+    )
+]
+
+agent = FunctionCallingAgentWorker(
+    tools=tools,
+    llm=llm,
+    prefix_messages=prefix_messages,
+    max_function_calls=10,
+    allow_parallel_tool_calls=False,
+    verbose=True,
+).as_agent()
+
+candidate_description = '10 Senior Backend developers in San Francisco'
+user_input = f"Create a candidate list based on the description: {candidate_description}. Include all the important details required for the job. Add all of it the google sheet."
+response = agent.chat(user_input)
+print(response)

python/examples/advanced_agents/recruiter_agent/readme.md

@@ -0,0 +1,28 @@
+# Recruiter Agent
+
+This guide offers comprehensive instructions for creating a Recruiter Agent that utilizes Composio and agentic frameworks like LlamaIndex and ChatGPT. This agent is designed to effectively identify candidates for your business and compile all candidate data into a spreadsheet.
+
+## Steps to Run
+
+**Navigate to the Project Directory:**
+Change to the directory where the `setup.sh`, `main.py`, `requirements.txt`, and `README.md` files are located. For example:
+```sh
+cd path/to/project/directory
+```
+
+### 1. Run the Setup File
+Make the setup.sh Script Executable (if necessary):
+On Linux or macOS, you might need to make the setup.sh script executable:
+```shell
+chmod +x setup.sh
+```
+Execute the setup.sh script to set up the environment and install dependencies:
+```shell
+./setup.sh
+```
+Now, fill in the `.env` file with your secrets.
+
+### 2. Run the Python Script
+```shell
+python cookbook/python-examples/advanced_agents/recruiter_agent/main.py
+```

python/examples/advanced_agents/recruiter_agent/requirements.txt

@@ -0,0 +1,2 @@
+composio-llamaindex
+gradio

python/examples/advanced_agents/recruiter_agent/setup.sh

@@ -0,0 +1,34 @@
+#!/bin/bash
+
+# Create a virtual environment named sqlagent
+echo "Creating virtual environment..."
+python3 -m venv recruiter
+
+# Activate the virtual environment
+echo "Activating virtual environment..."
+source recruiter/bin/activate
+
+# Install libraries from requirements.txt 
+echo "Installing libraries from requirements.txt..."
+pip install -r requirements.txt
+
+# Copy env backup to .env file
+if [ -f ".env.example" ]; then
+    echo "Copying .env.example to .env..."
+    cp .env.example .env
+else
+    echo "No .env.example file found. Creating a new .env file..."
+    touch .env
+fi
+
+# Prompt the user to enter the OPENAI_API_KEY
+read -p "Enter your OPENAI_API_KEY: " OPENAI_API_KEY
+
+# Update the .env file with the entered OPENAI_API_KEY
+sed -i "s/^OPENAI_API_KEY=.*$/OPENAI_API_KEY=$OPENAI_API_KEY/" .env
+
+echo "OPENAI_API_KEY has been set in the .env file"
+
+echo "Please fill in the .env file with any other necessary environment variables."
+
+echo "Setup completed successfully!"