scope3ai 0.3.0rc1

Track the environmental impact of your use of AI

Scope3AI Python SDK

Track the environmental impact of your use of AI !

The Scope3AI Python SDK provides an easy-to-use interface for interacting with Scope3AI's API.
It allow you to record, trace, and analyze the impact of interactions with a focus on sustainability metrics.

🚀 Installation

The package scope3ai SDK is published on pypi. You can install it using pip:

pip install scope3ai

We personally use uv:

uv add scope3ai

📚 Library and SDK support Matrix

Library/SDK	Text generation	TTS	STT	Image Generation	Translation
Anthropic	✅
Cohere	✅
OpenAI	✅	✅	✅	✅	✅
Huggingface	✅	✅	✅	✅	✅
LiteLLM	✅
MistralAi	✅

Roadmap:

• Google
• Langchain

✨ Getting Started

Initializing the SDK

The SDK can be initialized with your API key and custom configurations.

from scope3ai import Scope3AI

scope3 = Scope3AI.init(
    api_key="YOUR_API_KEY",  # Replace "YOUR_API_KEY" with your actual key
    api_url="https://api.scope3.ai/v1",  # Optional: Specify the API URL
    enable_debug_logging=False,  # Enable debug logging (default: False)
    sync_mode=False,  # Enable synchronous mode when sending telemetry to the API (default: False)
)

Environment variables

You can also use environment variable to setup the SDK:

• SCOPE3AI_API_KEY: Your Scope3AI API key
• SCOPE3AI_API_URL: The API endpoint URL. Default: https://api.scope3.ai/v1
• SCOPE3AI_SYNC_MODE: If True, every interaction will be send synchronously to the API, otherwise it will use a background worker. Default: False

from scope3ai import Scope3AI

scope3 = Scope3AI.init()

Usage Examples

1. Using Context Management for Tracing

Within the context of a trace, all interactions are recorded and you can query the impact of the trace. As the interactions are captured and send to Scope3 AI for analysis, the impact is calculated and returned asynchronously. This will automatically wait for all traces to be processed and return the impact.

with scope3.trace() as tracer:
    # Perform your interactions
    interact()
    interact()

    # Print the impact of the recorded trace
    impact = tracer.impact()
    print(f"Total Energy Wh: {impact.total_energy_wh}")
    print(f"Total GCO2e: {impact.total_gco2e}")
    print(f"Total MLH2O: {impact.total_mlh2o}")

2. Single interaction

For a single interaction, the response is augmented with a scope3ai attribute that contains the request and impact data. The impact data is calculated asynchronously so we need to wait for the impact to be calculated and for the attribute to be ready.

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello world"}],
    stream=False,
)

response.scope3ai.wait_impact()
impact = response.scope3ai.impact
print(f"Total Energy Wh: {impact.total_energy_wh}")
print(f"Total GCO2e: {impact.total_gco2e}")
print(f"Total MLH2O: {impact.total_mlh2o}")

3. Enabling Synchronous Mode for Immediate Impact Response

In synchronous mode, the SDK will include the impact data directly in the interaction response. This is useful when you want to get the impact data immediately after the interaction without waiting.

scope3.sync_mode = True

response = interact()
impact = response.scope3ai.impact
print(f"Total Energy Wh: {impact.total_energy_wh}")
print(f"Total GCO2e: {impact.total_gco2e}")
print(f"Total MLH2O: {impact.total_mlh2o}")

🛠️ Development

This project use conventional commits and semantic versioning.

Also:

• pre-commit for code formatting, linting and conventional commit checks
• uv for project and dependency management.

Initial setup

$ pre-commit install
$ pre-commit install --hook-type commit-msg

Using with specific env

You can use UV_ENV_FILE or --env-file to specify the environment file to use.

$ export UV_ENV_FILE=.env
$ uv sync --all-extras --all-groups
$ uv run python -m examples.openai-sync-chat

Update typesgen.py

$ uv run datamodel-codegen \
    --input tests/api-mocks/aiapi.yaml \
    --input-file-type openapi \
    --output scope3ai/api/typesgen.py \
    --output-model-type pydantic_v2.BaseModel \
    --use-schema-description \
    --allow-extra-fields \
    && uv run ruff format scope3ai/api/typesgen.py