Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions docs/platforms/python/integrations/index.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,7 @@ The Sentry SDK uses integrations to hook into the functionality of popular libra
| <LinkWithPlatformIcon platform="openai-agents" label="OpenAI Agents SDK" url="/platforms/python/integrations/openai-agents" /> | |
| <LinkWithPlatformIcon platform="langchain" label="LangChain" url="/platforms/python/integrations/langchain" /> | ✓ |
| <LinkWithPlatformIcon platform="langgraph" label="LangGraph" url="/platforms/python/integrations/langgraph" /> | ✓ |
| <LinkWithPlatformIcon platform="litellm" label="LiteLLM" url="/platforms/python/integrations/litellm" /> | |

### Data Processing

Expand Down
118 changes: 118 additions & 0 deletions docs/platforms/python/integrations/litellm/index.mdx
Original file line number Diff line number Diff line change
@@ -0,0 +1,118 @@
---
title: LiteLLM
description: "Learn about using Sentry for LiteLLM."
---

This integration connects Sentry with the [LiteLLM Python SDK](https://github.com/BerriAI/litellm).

Once you've installed this SDK, you can use the Sentry AI Agents Monitoring, a Sentry dashboard that helps you understand what's going on with your AI requests.

Sentry AI Monitoring will automatically collect information about prompts, tools, tokens, and models. Learn more about the [AI Agents Dashboard](/product/insights/ai/agents).

## Install

Install `sentry-sdk` from PyPI with the `litellm` extra:

```bash {tabTitle:pip}
pip install "sentry-sdk[litellm]"
```

```bash {tabTitle:uv}
uv add "sentry-sdk[litellm]"
```

## Configure

Add `LiteLLMIntegration()` to your `integrations` list:

```python
import sentry_sdk
from sentry_sdk.integrations.litellm import LiteLLMIntegration

sentry_sdk.init(
dsn="___PUBLIC_DSN___",
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for tracing.
traces_sample_rate=1.0,
# Add data like inputs and responses;
# see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
send_default_pii=True,
integrations=[
LiteLLMIntegration(),
],
)
```

## Verify

Verify that the integration works by making a chat completion request to LiteLLM.

```python
import sentry_sdk
from sentry_sdk.integrations.litellm import LiteLLMIntegration
import litellm

sentry_sdk.init(
dsn="___PUBLIC_DSN___",
traces_sample_rate=1.0,
send_default_pii=True,
integrations=[
LiteLLMIntegration(),
],
)

response = litellm.completion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "say hello"}],
max_tokens=100
)
print(response.choices[0].message.content)
```

After running this script, the resulting data should show up in the `AI Spans` tab on the `Explore > Traces > Trace` page on Sentry.io.

If you manually created an <PlatformLink to="/tracing/instrumentation/custom-instrumentation/ai-agents-module/#invoke-agent-span">Invoke Agent Span</PlatformLink> (not done in the example above), the data will also show up in the [AI Agents Dashboard](/product/insights/ai/agents).

It may take a couple of moments for the data to appear in [sentry.io](https://sentry.io).

## Behavior

- The LiteLLM integration will connect Sentry with the supported LiteLLM methods automatically.

- The supported functions are currently `completion` and `embedding` (both sync and async).

- Sentry considers LLM inputs/outputs as PII (Personally identifiable information) and doesn't include PII data by default. If you want to include the data, set `send_default_pii=True` in the `sentry_sdk.init()` call. To explicitly exclude prompts and outputs despite `send_default_pii=True`, configure the integration with `include_prompts=False` as shown in the [Options section](#options) below.

## Options

By adding `LiteLLMIntegration` to your `sentry_sdk.init()` call explicitly, you can set options for `LiteLLMIntegration` to change its behavior:

```python
import sentry_sdk
from sentry_sdk.integrations.litellm import LiteLLMIntegration

sentry_sdk.init(
# ...
# Add data like inputs and responses;
# see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
send_default_pii=True,
integrations=[
LiteLLMIntegration(
include_prompts=False, # LLM inputs/outputs will be not sent to Sentry, despite send_default_pii=True
),
],
)
```

You can pass the following keyword arguments to `LiteLLMIntegration()`:

- `include_prompts`:

Whether LLM inputs and outputs should be sent to Sentry. Sentry considers this data personal identifiable data (PII) by default. If you want to include the data, set `send_default_pii=True` in the `sentry_sdk.init()` call. To explicitly exclude prompts and outputs despite `send_default_pii=True`, configure the integration with `include_prompts=False`.

The default is `True`.

## Supported Versions

- LiteLLM: 1.77.0+
- Python: 3.8+
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ The Python SDK supports automatic instrumentation for some AI libraries. We reco
- <PlatformLink to="/integrations/openai-agents/">OpenAI Agents SDK</PlatformLink>
- <PlatformLink to="/integrations/langchain/">LangChain</PlatformLink>
- <PlatformLink to="/integrations/langgraph/">LangGraph</PlatformLink>
- <PlatformLink to="/integrations/litellm/">LiteLLM</PlatformLink>

## Manual Instrumentation

Expand Down
Loading