Documentation Index
Fetch the complete documentation index at: https://pasteguard.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Mask mode replaces PII with placeholders before sending to OpenAI or Anthropic. The response is automatically unmasked before returning to you.
How It Works
Request arrives
Your app sends: "Write a follow-up email to Dr. Sarah Chen (sarah.chen@hospital.org)"
PII detected
PasteGuard finds: Dr. Sarah Chen (PERSON), sarah.chen@hospital.org (EMAIL)
Masked request sent
OpenAI/Anthropic receives: "Write a follow-up email to [[PERSON_1]] ([[EMAIL_ADDRESS_1]])"
Response masked
OpenAI/Anthropic responds: "Dear [[PERSON_1]], Following up on our discussion..."
Response unmasked
You receive: "Dear Dr. Sarah Chen, Following up on our discussion..."
When to Use
- Simple setup without local infrastructure
- Want to use OpenAI or Anthropic while protecting PII
Configuration
mode: mask
providers:
openai:
base_url: https://api.openai.com/v1
Masking Options
masking:
show_markers: false
marker_text: "[protected]"
| Option | Default | Description |
|---|
show_markers | false | Add visual markers around unmasked values |
marker_text | [protected] | Marker text if enabled |
X-PasteGuard-Mode: mask
X-PasteGuard-Provider: openai
X-PasteGuard-PII-Detected: true
X-PasteGuard-PII-Masked: true
X-PasteGuard-Language: en
fallback_language:
X-PasteGuard-Language-Fallback: true
Streaming Support
Mask mode supports streaming responses. PasteGuard buffers tokens and unmasks placeholders in real-time as they arrive.
stream = client.chat.completions.create(
model="gpt-5.2",
messages=[{"role": "user", "content": "Email Dr. Sarah Chen at sarah.chen@hospital.org"}],
stream=True
)
for chunk in stream:
# PII is already unmasked in each chunk
print(chunk.choices[0].delta.content, end="")
