agentbill-py-sdk 1.0.0

OpenTelemetry-based SDK for tracking and billing AI agent usage

AgentBill Python SDK

OpenTelemetry-based SDK for automatically tracking and billing AI agent usage.

Installation

From GitHub (Recommended)

pip install git+https://github.com/Agent-Bill/python.git

From PyPI (Coming Soon)

pip install agentbill

From Source

git clone https://github.com/Agent-Bill/python.git
cd python
pip install -e .

File Structure

agentbill-python/
├── agentbill/
│   ├── __init__.py
│   ├── client.py
│   ├── tracer.py
│   └── types.py
├── examples/
│   ├── openai_basic.py
│   ├── anthropic_basic.py
│   ├── bedrock_basic.py
│   ├── azure_openai_basic.py
│   ├── mistral_basic.py
│   └── google_ai_basic.py
├── tests/
│   ├── test_agentbill.py
│   └── test_tracer.py
├── README.md
├── setup.py
├── pyproject.toml
├── pytest.ini
├── Makefile
├── CHANGELOG.md
├── CONTRIBUTING.md
├── SECURITY.md
└── LICENSE

Quick Start

from agentbill import AgentBill
import openai

# Initialize AgentBill
agentbill = AgentBill.init({
    "api_key": "your-api-key",
    "customer_id": "customer-123",
    "debug": True
})

# Wrap your OpenAI client
client = agentbill.wrap_openai(openai.OpenAI(
    api_key="sk-..."
))

# Use normally - all calls are automatically tracked!
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

Features

• ✅ Zero-config instrumentation
• ✅ Accurate token & cost tracking
• ✅ Multi-provider support (OpenAI, Anthropic, Bedrock, Azure OpenAI, Mistral, Google AI)
• ✅ Rich metadata capture
• ✅ OpenTelemetry-based

Supported Providers

• OpenAI - GPT-4, GPT-5, Embeddings, DALL-E, Whisper, TTS
• Anthropic - Claude Sonnet, Claude Opus
• AWS Bedrock - Claude, Titan, and other Bedrock models
• Azure OpenAI - GPT models via Azure
• Mistral AI - Mistral models
• Google AI - Gemini Pro, Gemini Flash

Provider Examples

OpenAI

from agentbill import AgentBill
import openai

agentbill = AgentBill.init({"api_key": "your-api-key"})
client = agentbill.wrap_openai(openai.OpenAI(api_key="sk-..."))

response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

Anthropic

from agentbill import AgentBill
import anthropic

agentbill = AgentBill.init({"api_key": "your-api-key"})
client = agentbill.wrap_anthropic(anthropic.Anthropic(api_key="sk-ant-..."))

response = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)

AWS Bedrock

from agentbill import AgentBill
import boto3

agentbill = AgentBill.init({"api_key": "your-api-key"})
bedrock = agentbill.wrap_bedrock(boto3.client('bedrock-runtime'))

response = bedrock.invoke_model(
    modelId='anthropic.claude-v2',
    body=json.dumps({
        "prompt": "Hello!",
        "max_tokens_to_sample": 300
    })
)

Azure OpenAI

from agentbill import AgentBill
from openai import AzureOpenAI

agentbill = AgentBill.init({"api_key": "your-api-key"})
client = agentbill.wrap_azure_openai(AzureOpenAI(
    api_key="your-azure-key",
    api_version="2024-02-01",
    azure_endpoint="https://your-resource.openai.azure.com"
))

response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

Mistral AI

from agentbill import AgentBill
from mistralai import Mistral

agentbill = AgentBill.init({"api_key": "your-api-key"})
client = agentbill.wrap_mistral(Mistral(api_key="your-mistral-key"))

response = client.chat.complete(
    model="mistral-large-latest",
    messages=[{"role": "user", "content": "Hello!"}]
)

Google AI (Gemini)

from agentbill import AgentBill
import google.generativeai as genai

agentbill = AgentBill.init({"api_key": "your-api-key"})
genai.configure(api_key="your-google-key")
model = genai.GenerativeModel('gemini-pro')
wrapped_model = agentbill.wrap_google_ai(model)

response = wrapped_model.generate_content("Hello!")

Configuration

config = {
    "api_key": "your-api-key",        # Required
    "base_url": "https://...",         # Optional
    "customer_id": "customer-123",     # Optional
    "debug": True                       # Optional
}

agentbill = AgentBill.init(config)

Publishing to PyPI

Prerequisites

1. Create a PyPI account at https://pypi.org/account/register/
2. Generate an API token at https://pypi.org/manage/account/token/
3. Create ~/.pypirc file with your token:

[pypi]
username = __token__
password = pypi-YOUR_API_TOKEN_HERE

Publishing Steps

# Build the package
python setup.py sdist bdist_wheel

# Upload to PyPI
pip install twine
twine upload dist/*

GitHub Repository Setup

1. Create repository: https://github.com/Agent-Bill/python
2. Push all files (agentbill/, examples/, LICENSE, setup.py, README.md)
3. Tag releases: git tag v1.0.0 && git push origin v1.0.0
4. Users can install with: pip install git+https://github.com/Agent-Bill/python.git

License

MIT