agentwatch-py 0.1.0

Zero-config OpenAI usage tracking for AgentWatch — prompts never leave your server

agentwatch

Lightweight OpenAI usage tracking for AgentWatch. Token counts, model, and latency are sent to AgentWatch after each response — prompts and completions never leave your server.

Install

pip install agentwatch-py

Usage

from openai import OpenAI
from agentwatch import wrap

client = wrap(
    OpenAI(),
    api_key="aw_live_...",   # Your AgentWatch API key
    agent_id="...",          # Agent ID from your AgentWatch dashboard
)

# Use exactly as before — tracking happens automatically
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
)

# Streaming works too
for chunk in client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
    stream=True,
):
    pass  # process chunk as normal

What gets sent to AgentWatch

Only usage metadata — never your prompts or completions:

{
  "agent_id": "...",
  "model": "gpt-4o",
  "prompt_tokens": 12,
  "completion_tokens": 34,
  "latency_ms": 843,
  "success": true
}

Options

Argument	Type	Description
api_key	str	Your AgentWatch API key (aw_live_...)
agent_id	str	Agent ID from your dashboard
ingest_url	str	Override the ingest URL (optional)

Find your API key and agent IDs at getagentwatch.com/dashboard/integrations.