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AgentOps Basic Monitoring

This is an example of how to use the AgentOps library for basic Agent monitoring with OpenAI’s GPT

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Installation

pip install -U openai agentops

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Setup

Import the necessary libraries:

from openai import OpenAI
import agentops
import os
from dotenv import load_dotenv

Set up your API keys:

load_dotenv()
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") or "<your_openai_key>"
AGENTOPS_API_KEY = os.getenv("AGENTOPS_API_KEY") or "<your_agentops_key>"

Initialize AgentOps at the beginning of your application:

# Initialize OpenAI client
openai = OpenAI(api_key=OPENAI_API_KEY)

# Initialize AgentOps with tags
agentops.init(AGENTOPS_API_KEY, tags=["openai-gpt-example"])

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Single Completion Example

Now just use OpenAI as you would normally!

message = [{"role": "user", "content": "Write a 12 word poem about secret agents."}]
response = openai.chat.completions.create(
    model="gpt-3.5-turbo", messages=message, temperature=0.5, stream=False
)
print(response.choices[0].message.content)

Sessions are automatically managed by AgentOps. When your program exits, the session will be properly closed.

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Tracking Custom Events

You can track custom operations using decorators:

from agentops.sdk.decorators import operation

@operation(name="add numbers")
def add(x, y):
    return x + y

result = add(2, 4)
print(f"Result: {result}")

You can also create operations for more complex tracking:

from agentops.sdk.decorators import operation

@operation(name="check greeting")
def check_greeting():
    message = [{"role": "user", "content": "Hello"}]
    response = openai.chat.completions.create(
        model="gpt-3.5-turbo", messages=message, temperature=0.5
    )
    
    print(response.choices[0].message.content)
    
    if "hello" in str(response.choices[0].message.content).lower():
        return "Greeting detected"
    return "No greeting detected"
    
result = check_greeting()
print(f"Greeting check: {result}")

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Further Reading

Check out more advanced examples like Multi-Agent or OpenAI Assistants integration.