> ## Documentation Index
> Fetch the complete documentation index at: https://docs.helicone.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Omit Logs
When handling sensitive data or operating under strict compliance requirements, you may need to track LLM metrics without storing the actual request and response content. Omit Logs lets you maintain observability for costs, latency, and usage patterns while excluding sensitive data from storage.
## Why use Omit Logs
* **Maintain compliance**: Meet GDPR, HIPAA, and other regulatory requirements by excluding sensitive content from logs
* **Protect sensitive data**: Prevent PII, financial data, or proprietary information from being stored in observability systems
* **Keep essential metrics**: Still track costs, latency, token usage, and performance without storing actual content
All responses and requests are only stored in memory and never in long-term
storage.{" "}
There are two ways to omit logs:
1. **Headers**: Use this if you're not using Helicone's [Python Asynchronous Logging](/getting-started/integration-method/openllmetry).
2. **Helicone Python Async Logging**: Use this if you're using Helicone's [Python Asynchronous Logging](/getting-started/integration-method/openllmetry) and don't want to send the request or response to our backend.
## Headers
**Note:** This method does not store the request or response but it still
sends it to our backend.
To omit logging requests, set `Helicone-Omit-Request` to `true`.
To omit logging responses, set `Helicone-Omit-Response` to `true`.
```bash Curl theme={null}
curl https://oai.helicone.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Helicone-Omit-Request: true" \
-H "Helicone-Omit-Response: true" \
-d '{
"model": "gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "How do I enable custom rate limit policies?"
}
]
}'
```
```python Python theme={null}
client = OpenAI(
base_url="https://oai.helicone.ai/v1",
default_headers={
"Helicone-Auth": f"Bearer {HELICONE_API_KEY}",
}
)
client.chat.completions.create(
model="text-davinci-003",
prompt="How do I enable retries?",
headers={
"Helicone-Omit-Request": "true", # Add this header and set to true
"Helicone-Omit-Response": "true", # Add this header and set to true
}
)
```
```js Node theme={null}
import { Configuration, OpenAIApi } from "openai";
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
basePath: "https://oai.helicone.ai/v1",
defaultHeaders: {
"Helicone-Omit-Request": "true", // Add this header and set to true
"Helicone-Omit-Response": "true", // Add this header and set to true
},
});
const openai = new OpenAIApi(configuration);
```
## Python Async Logging
If you are using Helicone's [Asynchronous Logging](/getting-started/integration-method/openllmetry), you have the option to not even send the request or response to our backend.
```python theme={null}
from helicone_async import HeliconeAsyncLogger
from openai import OpenAI
logger = HeliconeAsyncLogger(
api_key=HELICONE_API_KEY,
)
logger.init()
client = OpenAI(api_key=OPENAI_API_KEY)
logger.disable_content_tracing() # This will omit the request and response from being sent to our backend till the time you call logger.enable_content_tracing()
# Make the OpenAI call
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant",
"content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}]
)
print(response.choices[0])
logger.enable_content_tracing() # All future requests will be sent with the request and response
```
### Request View
You can still see the key metrics for each request, without the request or response contents.
## Completely Disabling Logging
If you are using Helicone's Asynchronous Logging, you can also completely disable all logging to Helicone:
```python theme={null}
from helicone_async import HeliconeAsyncLogger
from openai import OpenAI
logger = HeliconeAsyncLogger(
api_key=HELICONE_API_KEY,
)
logger.init()
# Completely disable all logging
logger.disable_logging()
# Your OpenAI calls here
# No data will be sent to Helicone
# Later, re-enable logging if needed
logger.enable_logging()
```
When logging is disabled, no traces will be sent to Helicone at all. This is different from `disable_content_tracing()` which only omits request and response content but still sends other metrics. Note that this feature is only available when using Helicone's async integration mode and not with the proxy integration.
### Request View
You can still see the key metrics for each request, without the request or response contents.
***
Additional questions or feedback? Reach out to
[help@helicone.ai](mailto:help@helicone.ai) or [schedule a
call](https://cal.com/team/helicone/helicone-discovery) with us.