coolhand 0.5.0

A Python SDK for monitoring and analyzing AI API interactions with LLM services

Coolhand Python

Monitor and log LLM API calls from OpenAI, Anthropic, Google Gemini, GitHub Copilot, Vertex AI, OpenRouter, Cloudflare AI Gateway, and more — including pydantic-ai and Dramatiq — to the Coolhand analytics platform.

Python 3.8 and 3.9 support deprecated: As of v0.4.0, coolhand requires Python 3.10 or later. Python 3.8 reached end-of-life in October 2024 and 3.9 in October 2025. If you are on an older Python version, pin to coolhand<0.4.0.

Installation

pip install coolhand

Getting Started

1. Get API Key: Visit coolhandlabs.com to create a free account
2. Install: pip install coolhand
3. Configure: Set COOLHAND_API_KEY and import coolhand in your app
4. Deploy: Your AI calls are now automatically monitored!

Quick Start

Automatic Global Monitoring

Set it and forget it! Monitor ALL AI API calls across your entire application with minimal configuration.

import coolhand  # Auto-initializes and starts monitoring

# That's it! ALL AI API calls are now automatically monitored:
# ✅ OpenAI SDK calls
# ✅ Anthropic API calls
# ✅ Google Gemini API calls
# ✅ GitHub Copilot SDK calls
# ✅ ANY library making AI API calls via httpx

# Your existing code works unchanged:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)
# The request and response have been automatically logged to Coolhand!

Why Automatic Monitoring:

• Zero refactoring - No code changes to existing services
• Complete coverage - Monitors all AI libraries using httpx automatically
• Security built-in - Automatic credential sanitization
• Performance optimized - Negligible overhead via async logging
• Future-proof - Automatically captures new AI calls added by your team

Configuration

Environment Variables

Variable	Required	Default	Description
COOLHAND_API_KEY	Yes	-	Your Coolhand API key for authentication
COOLHAND_BASE_URL	No	https://coolhandlabs.com	Override the API host (self-hosted deployments)
COOLHAND_SILENT	No	true	Set to false for verbose logging output

Manual Configuration

from coolhand import Coolhand

coolhand_client = Coolhand(
    api_key='your-api-key',
    silent=False,  # Enable verbose logging
)

For excluding noisy endpoints (health checks, batch jobs) or pointing the SDK at a self-hosted backend, see Advanced Configuration.

Usage Examples

With OpenAI

import coolhand
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
# Request automatically logged to Coolhand!

With Anthropic

import coolhand
from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.content[0].text)
# Request automatically logged to Coolhand!

With Google Gemini

import coolhand
import google.generativeai as genai

genai.configure(api_key="your-gemini-api-key")
model = genai.GenerativeModel("gemini-pro")
response = model.generate_content("Hello!")
print(response.text)
# Request automatically logged to Coolhand!

With GitHub Copilot SDK

import coolhand
# GitHub Copilot SDK calls are automatically intercepted
# via JsonRpcClient patching — no additional setup needed.

With Streaming

import coolhand
from openai import OpenAI

client = OpenAI()
stream = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")
# Complete streamed response automatically logged to Coolhand!

What Gets Logged

The monitor captures:

• Request Data: Method, URL, headers, request body
• Response Data: Status code, headers, response body
• Timing: Request timestamp, response timestamp, duration
• LLM-Specific: Model used, token counts, streaming status

Headers containing API keys are automatically sanitized for security.

Supported Libraries

Coolhand works with any library that uses httpx, requests, or the GitHub Copilot SDK:

• OpenAI Python SDK
• Anthropic Python SDK
• Google Gemini (google-generativeai / google-genai)
• Azure AI Inference (azure-ai-inference)
• GitHub Models
• GitHub Copilot SDK
• Vertex AI
• Cloudflare AI Gateway
• OpenRouter
• pydantic-ai
• Any other library using httpx or requests

See Supported Libraries for the full interception mechanism breakdown and streaming details.

How It Works

Importing coolhand patches httpx, requests, and the GitHub Copilot JsonRpcClient at the class level. Requests to LLM APIs are intercepted, credentials are redacted, and data is submitted to Coolhand. Non-LLM requests pass through unchanged.

Integrations

Integration	Status	Guide
Dramatiq + pydantic-ai	✅ Supported	docs/dramatiq.md
Celery	🔜 Coming soon	—

Feedback Service

Collect user feedback on LLM responses to improve your AI outputs.

Frontend Feedback Widget: For browser-based feedback collection, see coolhand-js.

from coolhand import Coolhand

ch = Coolhand(api_key='your-api-key')

# Submit positive feedback
ch.create_feedback({
    'llm_request_log_id': 'abc123def456',  # hashid from a prior response; a raw integer FK also still works
    'sentiment': 'like',
    'explanation': 'Very helpful response!'
})

# Submit negative feedback with a correction
ch.create_feedback({
    'original_output': 'The capital of France is London.',
    'sentiment': 'dislike',
    'revised_output': 'The capital of France is Paris.'
})

For the full field reference, matching strategies, and sentiment values, see Feedback API.

Troubleshooting

Enable Debug Output

from coolhand import Coolhand

Coolhand(
    api_key='your-api-key',
    silent=False  # Enable verbose logging
)

Or via environment variable:

export COOLHAND_SILENT=false

API Key

Sign up for free at coolhandlabs.com to get your API key and start monitoring your LLM usage.

What you get:

• Complete LLM request and response logging
• Usage analytics and insights
• No credit card required to start

Security

• API keys in request headers are automatically redacted
• Sensitive URL query parameters (key, api_key, token, etc.) are automatically redacted
• No sensitive data is exposed in logs
• All data is sent via HTTPS to Coolhand servers

Documentation

• Advanced Configuration — exclude patterns, self-hosted deployments, custom intercept addresses
• Feedback API — full field reference, matching strategies, sentiment values
• Supported Libraries — interception mechanisms, streaming, thread/process safety
• Dramatiq + pydantic-ai — task queue integration guide, known gaps, workarounds

Related Packages

• Frontend (Feedback Collection Widget): coolhand-js - Frontend feedback widget for collecting user feedback on AI outputs
• Ruby: coolhand gem - Coolhand monitoring for Ruby applications
• Node.js: coolhand-node package - Coolhand monitoring for Node.js applications

Community

• Questions? Create an issue
• Contribute? Submit a pull request
• Support? Visit coolhandlabs.com

About Coolhand Labs

Coolhand Labs builds observability and feedback tooling for AI-powered applications. Our platform helps teams monitor LLM usage, collect structured human feedback, and improve output quality over time — across every provider and framework.

License

Apache-2.0