AgentOps provides seamless integration with Anthropic’s Python SDK, allowing you to track and analyze all your Claude model interactions automatically.

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Installation

Make sure to call agentops.init before calling any openai, cohere, crew, etc models.

pip install agentops anthropic

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Usage

Initialize AgentOps at the beginning of your application to automatically track all Anthropic API calls:

import agentops
import anthropic

# Initialize AgentOps
agentops.init(<INSERT YOUR API KEY HERE>)

# Create Anthropic client
client = anthropic.Anthropic(api_key="<YOUR_ANTHROPIC_API_KEY>")

# Make a completion request - AgentOps will track it automatically
message = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=1000,
    messages=[
        {"role": "user", "content": "What is artificial intelligence?"}
    ]
)

print(message.content[0].text)

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Advanced Examples

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Streaming Example

AgentOps automatically tracks streaming completions:

import agentops
import anthropic
      
# Initialize AgentOps
      agentops.init(<INSERT YOUR API KEY HERE>)

# Create Anthropic client
client = anthropic.Anthropic(api_key="<YOUR_ANTHROPIC_API_KEY>")

# Make a streaming request
with client.messages.stream(
    model="claude-3-haiku-20240307",
    max_tokens=1000,
    messages=[
        {"role": "user", "content": "Write a short poem about artificial intelligence."}
    ]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)
    print()  # Add a newline at the end

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System Prompt Example

AgentOps tracks interactions with system prompts:

import agentops
import anthropic

# Initialize AgentOps
agentops.init(<INSERT YOUR API KEY HERE>)

# Create Anthropic client
client = anthropic.Anthropic(api_key="<YOUR_ANTHROPIC_API_KEY>")

# Make a request with a system prompt
message = client.messages.create(
    model="claude-3-sonnet-20240229",
    max_tokens=1000,
    system="You are a helpful AI assistant with expertise in science and technology. Keep your answers concise and accurate.",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms."}
    ]
)

print(message.content[0].text)

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Tool Use Example

AgentOps tracks tool use with Claude:

import agentops
import anthropic
import json
from datetime import datetime

# Initialize AgentOps
  agentops.init(<INSERT YOUR API KEY HERE>)

# Create Anthropic client
client = anthropic.Anthropic(api_key="<YOUR_ANTHROPIC_API_KEY>")

# Define tools
tools = [
    {
        "type": "custom",
        "name": "get_current_time",
        "description": "Get the current date and time",
        "input_schema": {
            "type": "object",
            "properties": {},
            "required": []
        }
    }
]

def get_current_time():
    return {"current_time": datetime.now().isoformat()}

# Make a request with tools
  message = client.messages.create(
      model="claude-3-opus-20240229",
    max_tokens=1000,
    tools=tools,
    messages=[
        {"role": "user", "content": "What time is it now?"}
    ]
  )

# Handle tool use
if message.content[0].type == "tool_calls":
    tool_call = message.content[0].tool_calls[0]
    tool_name = tool_call.name
    
    if tool_name == "get_current_time":
        tool_response = get_current_time()
        
        # Continue the conversation with the tool response
        second_message = client.messages.create(
          model="claude-3-opus-20240229",
            max_tokens=1000,
            messages=[
                {"role": "user", "content": "What time is it now?"},
                {
                    "role": "assistant",
                    "content": [
                        {
                            "type": "tool_calls",
                            "tool_calls": [
                                {
                                    "type": "custom",
                                    "name": "get_current_time",
                                    "input": {}
                                }
                            ]
                        }
                    ]
                },
                {
                    "role": "tool",
                    "content": json.dumps(tool_response),
                    "tool_call_id": tool_call.id
                }
            ]
      )

        print(second_message.content[0].text)
else:
    print(message.content[0].text)

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Environment Variables

Set your API key as an .env variable for easy access.

AGENTOPS_API_KEY=<YOUR API KEY>
ANTHROPIC_API_KEY=<YOUR ANTHROPIC API KEY>

Read more about environment variables in Advanced Configuration