# cmdrdata-anthropic
[](https://github.com/cmdrdata-ai/cmdrdata-anthropic/actions)
[](https://codecov.io/gh/cmdrdata-ai/cmdrdata-anthropic)
[](https://badge.fury.io/py/cmdrdata-anthropic)
[](https://pypi.org/project/cmdrdata-anthropic/)
[](https://opensource.org/licenses/MIT)
**The standard for AI customer intelligence - track every Claude call by customer, feature, or any dimension**
Join hundreds of companies making customer-level AI tracking the default. One line of code to add complete visibility into your AI operations. Free during beta.
## 📊 Complete AI Intelligence Layer
`cmdrdata-anthropic` is the missing analytics layer for your AI-powered application:
### **Track Everything That Matters**
- **Customer Intelligence** - Know exactly which customers use what features
- **Metadata Everything** - Tag usage by feature, experiment, team, region, or any dimension
- **Usage Patterns** - Understand how your AI is actually being used
- **Real-time Analytics** - Instant visibility into your AI operations
### **Built for Modern AI Apps**
- **One-line integration** - Drop-in replacement for Anthropic SDK
- **Zero latency overhead** - Async tracking never blocks your API calls
- **Unlimited custom fields** - Track any metadata that matters to your business
- **Privacy first** - Your data never touches our servers (optional self-hosting)
### **What You Can Track**
- **Token usage** by customer, feature, experiment, or any dimension
- **Model usage** patterns (Claude 3.5 Sonnet, Claude 3 Haiku, etc.)
- **Customer behavior** - Who uses what, when, and how much
- **Custom metadata** - Unlimited fields for your specific needs
- **Performance metrics** - Latency, errors, success rates by segment
## 🛡️ Production Ready
**Extremely robust and reliable** - Built for production environments with:
- **Resilient Tracking:** Claude calls succeed even if tracking fails.
- **Non-blocking I/O:** Fire-and-forget tracking never slows down your application.
- **Automatic Retries:** Failed tracking attempts are automatically retried with exponential backoff.
- **Thread-Safe Context:** Safely track usage across multi-threaded and async applications.
- **Enterprise Security:** API key sanitization and input validation.
## 🚀 Quick Start
### Installation
```bash
pip install cmdrdata-anthropic
```
### Basic Usage
```python
# Before
import anthropic
client = anthropic.Anthropic(api_key="your-anthropic-key")
# After - same API, automatic tracking!
import cmdrdata_anthropic
client = cmdrdata_anthropic.TrackedAnthropic(
api_key="your-anthropic-key",
cmdrdata_api_key="your-cmdrdata-key"
)
# Same API as regular Anthropic client
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": "Hello, Claude!"}]
)
print(response.content)
# Usage automatically tracked to cmdrdata backend!
```
### Async Support
```python
import cmdrdata_anthropic
async def main():
client = cmdrdata_anthropic.AsyncTrackedAnthropic(
api_key="your-anthropic-key",
cmdrdata_api_key="your-cmdrdata-key"
)
response = await client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.content)
# Async usage tracking included!
```
## 🎯 Customer Context Management
### Automatic Customer Tracking
```python
from cmdrdata_anthropic.context import customer_context
# Set customer context for automatic tracking
with customer_context("customer-123"):
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": "Help me code"}]
)
# Automatically tracked for customer-123!
# Or pass customer_id directly
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": "Hello"}],
customer_id="customer-456" # Direct customer ID
)
```
### Manual Context Management
```python
from cmdrdata_anthropic.context import set_customer_context, clear_customer_context
# Set context for current thread
set_customer_context("customer-789")
response = client.messages.create(...) # Tracked for customer-789
# Clear context
clear_customer_context()
```
### 💎 Advanced Analytics with Custom Metadata
Track arbitrary metadata with each API call to enable sophisticated analytics:
```python
# Example: AI writing assistant with feature tracking
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=2000,
messages=[{"role": "user", "content": "Write a blog post about AI..."}],
customer_id="customer-123",
# Custom metadata for analytics
custom_metadata={
"feature": "content_generation",
"experiment_group": "claude_3_5_test",
"content_type": "blog_post",
"user_segment": "power_user",
"session_id": "sess_abc123"
}
)
# Example: Customer support automation with behavior tracking
response = client.messages.create(
model="claude-3-haiku-20240307",
max_tokens=1000,
messages=complex_support_conversation,
customer_id="customer-456",
custom_metadata={
"use_case": "customer_support",
"conversation_length": len(complex_support_conversation),
"department": "technical_support",
"interaction_type": "chat",
"user_journey_stage": "resolution"
}
)
```
**Intelligence Use Cases:**
- **Feature adoption**: Track which AI features customers actually use
- **A/B testing**: Compare model performance across experiment groups
- **User segmentation**: Understand usage patterns by customer segment
- **Journey analytics**: Track AI interactions throughout the customer journey
- **Performance optimization**: Identify which use cases need optimization
- **Product insights**: Data-driven decisions on feature development
## ⚙️ Configuration
### Environment Variables
```bash
# Optional: Set via environment variables
export ANTHROPIC_API_KEY="your-anthropic-key"
export CMDRDATA_API_KEY="your-cmdrdata-key"
export CMDRDATA_ENDPOINT="https://api.cmdrdata.ai/api/events" # Optional
```
```python
# Then use without passing keys
client = cmdrdata_anthropic.TrackedAnthropic()
```
### Custom Configuration
```python
client = cmdrdata_anthropic.TrackedAnthropic(
api_key="your-anthropic-key",
cmdrdata_api_key="your-cmdrdata-key",
cmdrdata_endpoint="https://your-custom-endpoint.com/api/events",
track_usage=True, # Enable/disable tracking
timeout=30, # Custom timeout
max_retries=3 # Custom retry logic
)
```
## 🔒 Security & Privacy
### Automatic Data Sanitization
- **API keys automatically redacted** from logs
- **Sensitive data sanitized** before transmission
- **Input validation** prevents injection attacks
- **Secure defaults** for all configuration
### What Gets Tracked
```python
# Tracked data (anonymized):
{
"customer_id": "customer-123",
"model": "claude-sonnet-4-20250514",
"input_tokens": 25,
"output_tokens": 150,
"total_tokens": 175,
"provider": "anthropic",
"timestamp": "2025-01-15T10:30:00Z",
"metadata": {
"response_id": "msg_abc123",
"type": "message",
"stop_reason": "end_turn"
}
}
```
**Note**: Message content is never tracked - only metadata and token counts.
## 📊 Monitoring & Performance
### Built-in Performance Monitoring
```python
# Get performance statistics
stats = client.get_performance_stats()
print(f"Average response time: {stats['api_calls']['avg']}ms")
print(f"Total API calls: {stats['api_calls']['count']}")
```
### Health Monitoring
```python
# Check tracking system health
tracker = client.get_usage_tracker()
health = tracker.get_health_status()
print(f"Tracking healthy: {health['healthy']}")
```
## 🛠️ Advanced Usage
### Disable Tracking for Specific Calls
```python
# Disable tracking for sensitive operations
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": "Private query"}],
track_usage=False # This call won't be tracked
)
```
### Error Handling
```python
from cmdrdata_anthropic.exceptions import CMDRDataError, TrackingError
try:
client = cmdrdata_anthropic.TrackedAnthropic(
api_key="invalid-key",
cmdrdata_api_key="invalid-cmdrdata-key"
)
except CMDRDataError as e:
print(f"Configuration error: {e}")
# Handle configuration issues
```
### Integration with Existing Error Handling
```python
# All original Anthropic exceptions work the same way
try:
response = client.messages.create(...)
except anthropic.APIError as e:
print(f"Anthropic API error: {e}")
# Your existing error handling works unchanged
```
## 🔧 Development
### Requirements
- Python 3.9+
- anthropic>=0.21.0
### Installation for Development
```bash
git clone https://github.com/cmdrdata-ai/cmdrdata-anthropic.git
cd cmdrdata-anthropic
pip install -e .[dev]
```
### Running Tests
```bash
# Run all tests
pytest
# Run with coverage
pytest --cov=cmdrdata_anthropic
# Run specific test categories
pytest -m unit # Unit tests only
pytest -m integration # Integration tests only
```
### Code Quality
```bash
# Format code
black cmdrdata_anthropic/
isort cmdrdata_anthropic/
# Type checking
mypy cmdrdata_anthropic/
# Security scanning
safety check
```
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
### Development Workflow
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes
4. Add tests for your changes
5. Ensure all tests pass (`pytest`)
6. Format your code (`black . && isort .`)
7. Commit your changes (`git commit -m 'Add amazing feature'`)
8. Push to the branch (`git push origin feature/amazing-feature`)
9. Open a Pull Request
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🆘 Support
- **Documentation**: [https://docs.cmdrdata.ai/anthropic](https://docs.cmdrdata.ai/anthropic)
- **Issues**: [GitHub Issues](https://github.com/cmdrdata-ai/cmdrdata-anthropic/issues)
- **Support**: [spot@cmdrdata.ai](mailto:spot@cmdrdata.ai)
## 🔗 Related Projects
- **[cmdrdata-openai](https://github.com/cmdrdata-ai/cmdrdata-openai)** - Usage tracking for OpenAI
- **[CMDR Data Platform](https://www.cmdrdata.ai)** - Complete LLM usage analytics
## 📈 Changelog
See [CHANGELOG.md](CHANGELOG.md) for a complete list of changes and version history.
---
**Built with ❤️ by the CMDR Data team**
*Become the Google Analytics of your AI - understand everything, optimize everything.*
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"description": "# cmdrdata-anthropic\n\n[](https://github.com/cmdrdata-ai/cmdrdata-anthropic/actions)\n[](https://codecov.io/gh/cmdrdata-ai/cmdrdata-anthropic)\n[](https://badge.fury.io/py/cmdrdata-anthropic)\n[](https://pypi.org/project/cmdrdata-anthropic/)\n[](https://opensource.org/licenses/MIT)\n\n**The standard for AI customer intelligence - track every Claude call by customer, feature, or any dimension**\n\nJoin hundreds of companies making customer-level AI tracking the default. One line of code to add complete visibility into your AI operations. Free during beta.\n\n## \ud83d\udcca Complete AI Intelligence Layer\n\n`cmdrdata-anthropic` is the missing analytics layer for your AI-powered application:\n\n### **Track Everything That Matters**\n- **Customer Intelligence** - Know exactly which customers use what features\n- **Metadata Everything** - Tag usage by feature, experiment, team, region, or any dimension\n- **Usage Patterns** - Understand how your AI is actually being used\n- **Real-time Analytics** - Instant visibility into your AI operations\n\n### **Built for Modern AI Apps**\n- **One-line integration** - Drop-in replacement for Anthropic SDK\n- **Zero latency overhead** - Async tracking never blocks your API calls \n- **Unlimited custom fields** - Track any metadata that matters to your business\n- **Privacy first** - Your data never touches our servers (optional self-hosting)\n\n### **What You Can Track**\n- **Token usage** by customer, feature, experiment, or any dimension\n- **Model usage** patterns (Claude 3.5 Sonnet, Claude 3 Haiku, etc.)\n- **Customer behavior** - Who uses what, when, and how much\n- **Custom metadata** - Unlimited fields for your specific needs\n- **Performance metrics** - Latency, errors, success rates by segment\n\n## \ud83d\udee1\ufe0f Production Ready\n\n**Extremely robust and reliable** - Built for production environments with:\n\n- **Resilient Tracking:** Claude calls succeed even if tracking fails.\n- **Non-blocking I/O:** Fire-and-forget tracking never slows down your application.\n- **Automatic Retries:** Failed tracking attempts are automatically retried with exponential backoff.\n- **Thread-Safe Context:** Safely track usage across multi-threaded and async applications.\n- **Enterprise Security:** API key sanitization and input validation.\n\n## \ud83d\ude80 Quick Start\n\n### Installation\n\n```bash\npip install cmdrdata-anthropic\n```\n\n### Basic Usage\n\n```python\n# Before\nimport anthropic\nclient = anthropic.Anthropic(api_key=\"your-anthropic-key\")\n\n# After - same API, automatic tracking!\nimport cmdrdata_anthropic\nclient = cmdrdata_anthropic.TrackedAnthropic(\n api_key=\"your-anthropic-key\",\n cmdrdata_api_key=\"your-cmdrdata-key\"\n)\n\n# Same API as regular Anthropic client\nresponse = client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=1000,\n messages=[{\"role\": \"user\", \"content\": \"Hello, Claude!\"}]\n)\n\nprint(response.content)\n# Usage automatically tracked to cmdrdata backend!\n```\n\n### Async Support\n\n```python\nimport cmdrdata_anthropic\n\nasync def main():\n client = cmdrdata_anthropic.AsyncTrackedAnthropic(\n api_key=\"your-anthropic-key\",\n cmdrdata_api_key=\"your-cmdrdata-key\"\n )\n\n response = await client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=1000,\n messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n )\n\n print(response.content)\n # Async usage tracking included!\n```\n\n## \ud83c\udfaf Customer Context Management\n\n### Automatic Customer Tracking\n\n```python\nfrom cmdrdata_anthropic.context import customer_context\n\n# Set customer context for automatic tracking\nwith customer_context(\"customer-123\"):\n response = client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=1000,\n messages=[{\"role\": \"user\", \"content\": \"Help me code\"}]\n )\n # Automatically tracked for customer-123!\n\n# Or pass customer_id directly\nresponse = client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=1000,\n messages=[{\"role\": \"user\", \"content\": \"Hello\"}],\n customer_id=\"customer-456\" # Direct customer ID\n)\n```\n\n### Manual Context Management\n\n```python\nfrom cmdrdata_anthropic.context import set_customer_context, clear_customer_context\n\n# Set context for current thread\nset_customer_context(\"customer-789\")\n\nresponse = client.messages.create(...) # Tracked for customer-789\n\n# Clear context\nclear_customer_context()\n```\n\n### \ud83d\udc8e Advanced Analytics with Custom Metadata\n\nTrack arbitrary metadata with each API call to enable sophisticated analytics:\n\n```python\n# Example: AI writing assistant with feature tracking\nresponse = client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=2000,\n messages=[{\"role\": \"user\", \"content\": \"Write a blog post about AI...\"}],\n customer_id=\"customer-123\",\n # Custom metadata for analytics\n custom_metadata={\n \"feature\": \"content_generation\",\n \"experiment_group\": \"claude_3_5_test\",\n \"content_type\": \"blog_post\",\n \"user_segment\": \"power_user\",\n \"session_id\": \"sess_abc123\"\n }\n)\n\n# Example: Customer support automation with behavior tracking\nresponse = client.messages.create(\n model=\"claude-3-haiku-20240307\",\n max_tokens=1000,\n messages=complex_support_conversation,\n customer_id=\"customer-456\",\n custom_metadata={\n \"use_case\": \"customer_support\",\n \"conversation_length\": len(complex_support_conversation),\n \"department\": \"technical_support\",\n \"interaction_type\": \"chat\",\n \"user_journey_stage\": \"resolution\"\n }\n)\n```\n\n**Intelligence Use Cases:**\n- **Feature adoption**: Track which AI features customers actually use\n- **A/B testing**: Compare model performance across experiment groups\n- **User segmentation**: Understand usage patterns by customer segment\n- **Journey analytics**: Track AI interactions throughout the customer journey\n- **Performance optimization**: Identify which use cases need optimization\n- **Product insights**: Data-driven decisions on feature development\n\n## \u2699\ufe0f Configuration\n\n### Environment Variables\n\n```bash\n# Optional: Set via environment variables\nexport ANTHROPIC_API_KEY=\"your-anthropic-key\"\nexport CMDRDATA_API_KEY=\"your-cmdrdata-key\"\nexport CMDRDATA_ENDPOINT=\"https://api.cmdrdata.ai/api/events\" # Optional\n```\n\n```python\n# Then use without passing keys\nclient = cmdrdata_anthropic.TrackedAnthropic()\n```\n\n### Custom Configuration\n\n```python\nclient = cmdrdata_anthropic.TrackedAnthropic(\n api_key=\"your-anthropic-key\",\n cmdrdata_api_key=\"your-cmdrdata-key\",\n cmdrdata_endpoint=\"https://your-custom-endpoint.com/api/events\",\n track_usage=True, # Enable/disable tracking\n timeout=30, # Custom timeout\n max_retries=3 # Custom retry logic\n)\n```\n\n## \ud83d\udd12 Security & Privacy\n\n### Automatic Data Sanitization\n\n- **API keys automatically redacted** from logs\n- **Sensitive data sanitized** before transmission\n- **Input validation** prevents injection attacks\n- **Secure defaults** for all configuration\n\n### What Gets Tracked\n\n```python\n# Tracked data (anonymized):\n{\n \"customer_id\": \"customer-123\",\n \"model\": \"claude-sonnet-4-20250514\",\n \"input_tokens\": 25,\n \"output_tokens\": 150,\n \"total_tokens\": 175,\n \"provider\": \"anthropic\",\n \"timestamp\": \"2025-01-15T10:30:00Z\",\n \"metadata\": {\n \"response_id\": \"msg_abc123\",\n \"type\": \"message\",\n \"stop_reason\": \"end_turn\"\n }\n}\n```\n\n**Note**: Message content is never tracked - only metadata and token counts.\n\n## \ud83d\udcca Monitoring & Performance\n\n### Built-in Performance Monitoring\n\n```python\n# Get performance statistics\nstats = client.get_performance_stats()\nprint(f\"Average response time: {stats['api_calls']['avg']}ms\")\nprint(f\"Total API calls: {stats['api_calls']['count']}\")\n```\n\n### Health Monitoring\n\n```python\n# Check tracking system health\ntracker = client.get_usage_tracker()\nhealth = tracker.get_health_status()\nprint(f\"Tracking healthy: {health['healthy']}\")\n```\n\n## \ud83d\udee0\ufe0f Advanced Usage\n\n### Disable Tracking for Specific Calls\n\n```python\n# Disable tracking for sensitive operations\nresponse = client.messages.create(\n model=\"claude-3-5-sonnet-20241022\",\n max_tokens=1000,\n messages=[{\"role\": \"user\", \"content\": \"Private query\"}],\n track_usage=False # This call won't be tracked\n)\n```\n\n### Error Handling\n\n```python\nfrom cmdrdata_anthropic.exceptions import CMDRDataError, TrackingError\n\ntry:\n client = cmdrdata_anthropic.TrackedAnthropic(\n api_key=\"invalid-key\",\n cmdrdata_api_key=\"invalid-cmdrdata-key\"\n )\nexcept CMDRDataError as e:\n print(f\"Configuration error: {e}\")\n # Handle configuration issues\n```\n\n### Integration with Existing Error Handling\n\n```python\n# All original Anthropic exceptions work the same way\ntry:\n response = client.messages.create(...)\nexcept anthropic.APIError as e:\n print(f\"Anthropic API error: {e}\")\n # Your existing error handling works unchanged\n```\n\n## \ud83d\udd27 Development\n\n### Requirements\n\n- Python 3.9+\n- anthropic>=0.21.0\n\n### Installation for Development\n\n```bash\ngit clone https://github.com/cmdrdata-ai/cmdrdata-anthropic.git\ncd cmdrdata-anthropic\npip install -e .[dev]\n```\n\n### Running Tests\n\n```bash\n# Run all tests\npytest\n\n# Run with coverage\npytest --cov=cmdrdata_anthropic\n\n# Run specific test categories\npytest -m unit # Unit tests only\npytest -m integration # Integration tests only\n```\n\n### Code Quality\n\n```bash\n# Format code\nblack cmdrdata_anthropic/\nisort cmdrdata_anthropic/\n\n# Type checking\nmypy cmdrdata_anthropic/\n\n# Security scanning\nsafety check\n```\n\n## \ud83e\udd1d Contributing\n\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n### Development Workflow\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Make your changes\n4. Add tests for your changes\n5. Ensure all tests pass (`pytest`)\n6. Format your code (`black . && isort .`)\n7. Commit your changes (`git commit -m 'Add amazing feature'`)\n8. Push to the branch (`git push origin feature/amazing-feature`)\n9. Open a Pull Request\n\n## \ud83d\udcdc License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83c\udd98 Support\n\n- **Documentation**: [https://docs.cmdrdata.ai/anthropic](https://docs.cmdrdata.ai/anthropic)\n- **Issues**: [GitHub Issues](https://github.com/cmdrdata-ai/cmdrdata-anthropic/issues)\n- **Support**: [spot@cmdrdata.ai](mailto:spot@cmdrdata.ai)\n\n## \ud83d\udd17 Related Projects\n\n- **[cmdrdata-openai](https://github.com/cmdrdata-ai/cmdrdata-openai)** - Usage tracking for OpenAI\n- **[CMDR Data Platform](https://www.cmdrdata.ai)** - Complete LLM usage analytics\n\n## \ud83d\udcc8 Changelog\n\nSee [CHANGELOG.md](CHANGELOG.md) for a complete list of changes and version history.\n\n---\n\n**Built with \u2764\ufe0f by the CMDR Data team**\n\n*Become the Google Analytics of your AI - understand everything, optimize everything.*\n",
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JSON
