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---
name: clade-data-handling
description: "Handle sensitive data with Claude \u2014 PII redaction, conversation\
\ management,\nUse when working with data-handling patterns.\ncontext window optimization,\
\ and data retention policies.\nTrigger with \"anthropic data privacy\", \"claude\
\ pii\", \"anthropic context window\",\n\"manage claude conversations\", \"anthropic\
\ data retention\".\n"
allowed-tools: Read, Write, Edit
version: 1.1.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- anthropic
- claude
- data
- privacy
- context
compatibility: Designed for Claude Code
---
# Anthropic Data Handling
## Overview
Handle data responsibly when building with Claude — manage the 200K token context window efficiently, implement conversation trimming strategies, redact PII before sending to the API, and configure data retention settings.
## Context Window Management
Claude models have a 200K token context window. Managing it efficiently is critical.
```typescript
// Count tokens before sending
const count = await client.messages.countTokens({
model: 'claude-sonnet-4-20250514',
messages,
system: systemPrompt,
});
// Budget: 200K total - max_tokens (output) = available input
const MAX_CONTEXT = 200_000;
const MAX_OUTPUT = 4096;
const inputBudget = MAX_CONTEXT - MAX_OUTPUT;
if (count.input_tokens > inputBudget) {
// Trim oldest messages, keep system prompt + recent context
messages = trimToFit(messages, inputBudget);
}
```
## Instructions
### Step 1: Conversation Trimming
```typescript
function trimConversation(messages: MessageParam[], maxTokens: number): MessageParam[] {
// Always keep the first message (often contains key context)
// Keep the most recent messages
// Drop middle turns first
if (messages.length <= 4) return messages;
const first = messages[0];
const recent = messages.slice(-6); // Last 3 turns
return [first, ...recent];
}
```
## PII Handling
```typescript
// Strip PII before sending to Claude (if not needed for the task)
function redactPII(text: string): string {
return text
.replace(/\b[\w._%+-]+@[\w.-]+\.\w{2,}\b/g, '[EMAIL]')
.replace(/\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g, '[PHONE]')
.replace(/\b\d{3}-\d{2}-\d{4}\b/g, '[SSN]')
.replace(/\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b/g, '[CARD]');
}
```
## Data Retention
- **Default**: Anthropic does not use API data for training
- **Zero retention**: Available on Enterprise plans
- **Your responsibility**: Don't store Claude responses containing user PII longer than needed
## Output
- Token counting implemented before sending requests (prevents context overflow errors)
- Conversation trimming preserving first message and recent turns
- PII redaction applied for emails, phone numbers, SSNs, and card numbers
- Data retention policy documented and configured
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| API Error | Check error type and status code | See `clade-common-errors` |
## Examples
See Context Window Management (token counting + budget), Conversation Trimming function, and PII Handling regex patterns above.
## Resources
- Anthropic Privacy Policy
- [Token Counting](https://platform.claude.com/docs/en/api/messages/count_tokens)
- [Context Window](https://platform.claude.com/docs/en/models/overview)
## Next Steps
See `clade-enterprise-rbac` for organization and access management.
## Prerequisites
- Completed `clade-install-auth`
- Application handling user conversations or document processing
- Understanding of token counting and context windows