#how can i create an agent ?

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long shadow
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I need a step-by-step instruction about how to build a customer service AI agent for a whatsapp channel

rustic chasmBOT
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Hi @long shadow. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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To create a customer service AI agent for a WhatsApp channel using OpenAI, you’ll need to combine OpenAI’s agentic platform (for the agent logic) with WhatsApp’s messaging API (for channel integration). Below is a step-by-step guide focused on building the agent itself, as described in the knowledge sources. Please note: the knowledge sources do not provide details on WhatsApp integration, so this answer focuses on the agent creation and orchestration.

Step 1: Install the OpenAI Agents SDK

First, install the OpenAI Agents SDK for Python:

pip install openai-agents

Get started with Agents SDK

Step 2: Define Your Agent’s Instructions and Tools

Create an agent with clear instructions and any tools (functions) it should use. For a customer service agent, you might define routines for triaging issues, suggesting fixes, or processing refunds.

Example (Python):

from agents import Agent

customer_service_agent = Agent(
    name="Customer Service Agent",
    instructions=(
        "You are a customer support agent for ACME Inc. "
        "Always answer in a sentence or less. "
        "Follow this routine: "
        "1. Ask probing questions to understand the user's problem. "
        "2. Propose a fix. "
        "3. If not satisfied, offer a refund. "
        "4. If accepted, process the refund."
    ),
    tools=[look_up_item, execute_refund],  # Define these functions separately
)

See routines and agent setup

Step 3: Implement Required Tools (Functions)

Define Python functions for actions your agent can take, such as looking up items or processing refunds.

def look_up_item(search_query):
    # Simulate item lookup
    return "item_132612938"
#

def execute_refund(item_id, reason="not provided"):
# Simulate refund processing
print(f"Refund processed for {item_id} due to {reason}")
return "success"

[Example tool functions](<https://cookbook.openai.com/examples/orchestrating_agents#routines>)

---

## Step 4: Orchestrate Agent Execution

Use the Agents SDK’s orchestration primitives to run your agent and handle user input.

Example (Python):

```python
from agents import Runner
import asyncio

async def main():
    result = await Runner.run(customer_service_agent, input="My product arrived damaged.")
    print(result.final_output)

if __name__ == "__main__":
    asyncio.run(main())

Agent orchestration example

Step 5: Monitor and Improve

Step 6: Integrate with WhatsApp (Not covered in sources)

The knowledge sources do not provide details on WhatsApp integration. You will need to use a WhatsApp Business API provider to connect your backend (where your agent runs) to WhatsApp messages. Route incoming messages to your agent and send responses back to users via WhatsApp.

Summary:

  • Use the OpenAI Agents SDK to define your agent, its instructions, and tools.
  • Orchestrate agent execution and monitor its performance.
  • Integrate with WhatsApp using external APIs (not covered in OpenAI docs).