Measure the carbon footprint of your AI
Route your AI traffic through Tailpipe's API gateway for automatic carbon tracking, cost attribution, and usage analytics — no code changes required.
Privacy First
Enterprise-grade security by design. We capture only metadata — never content.
Prompts NEVER captured
Message content is never logged or transmitted to our systems.
Responses NEVER captured
Model outputs pass through unchanged and are never stored.
API keys NEVER logged
Your credentials are forwarded securely and never stored.
Only metadata collected
Model name, token counts, latency, and status — nothing else.
Supported Providers
OpenAI
GPT-4, GPT-3.5, and all OpenAI models
Anthropic / Claude
Claude 4, Claude 3.5, and all Claude models
Google Gemini
Gemini Pro, Gemini Flash, and all Gemini models
Mistral
Mistral Large, Medium, and all Mistral models
LangChain
Via Python SDK callback handler — works with any LangChain provider
Zero-Code Integration
Point your base URL to Tailpipe's API gateway. No SDK, no wrapper, no code changes. Or use the Python SDK for direct instrumentation.
OpenAI
from openai import OpenAI
# Just change base_url — no SDK needed
client = OpenAI(
base_url="https://gateway.tailpipe.ai/openai/v1"
)
# Use as normal — telemetry captured automatically
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello!"}]
)Anthropic / Claude
from anthropic import Anthropic
# Just change base_url — no SDK needed
client = Anthropic(
base_url="https://gateway.tailpipe.ai/anthropic"
)
# Use as normal — telemetry captured automatically
message = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello!"}]
)Claude Code
# Claude Code — just set an environment variable
export ANTHROPIC_BASE_URL="https://gateway.tailpipe.ai/anthropic"
# Then use Claude Code as normalEnterprise Ready
Data Residency
Deploy the gateway in your own infrastructure — on-prem or in the cloud. Your telemetry data never leaves your control.
HMAC Signing
Cryptographic request signing for tamper-proof telemetry data.
SCI-AI Compliance
Captures all fields required by the Green Software Foundation SCI-AI specification for AI carbon tracking.
Built to Scale
Serverless architecture on AWS Lambda and Kinesis Firehose. Scales automatically with your AI workload — zero infrastructure to manage.
Start tracking your AI carbon footprint
Get set up in minutes. Point your base URL to Tailpipe — or use our Python SDK.