Integrations¶
If a package you are using is not listed here, please let us know on our Slack!
OpenTelemetry Integrations¶
Since Pydantic Logfire is OpenTelemetry compatible, it can be used with any OpenTelemetry instrumentation package. You can find the list of all OpenTelemetry instrumentation packages here.
Below you can see more details on how to use Logfire with some of the most popular Python packages.
| Package | Type |
|---|---|
| FastAPI | Web Framework |
| Django | Web Framework |
| Flask | Web Framework |
| Starlette | Web Framework |
| ASGI | Web Framework Interface |
| WSGI | Web Framework Interface |
| HTTPX | HTTP Client |
| Requests | HTTP Client |
| AIOHTTP | HTTP Client |
| SQLAlchemy | Databases |
| Asyncpg | Databases |
| Psycopg | Databases |
| PyMongo | Databases |
| MySQL | Databases |
| SQLite3 | Databases |
| Redis | Databases |
| BigQuery | Databases |
| Airflow | Task Scheduler |
| FastStream | Task Queue |
| Celery | Task Queue |
| Stripe | Payment Gateway |
| System Metrics | System Metrics |
If you are using Logfire with a web application, we also recommend reviewing our Web Frameworks documentation.
Custom Integrations¶
We have special integration with the Pydantic library and the OpenAI SDK:
| Package | Type |
|---|---|
| Pydantic | Data Validation |
| OpenAI | AI |
| Anthropic | AI |
Logging Integrations¶
Finally, we also have documentation for how to use Logfire with existing logging libraries:
| Package | Type |
|---|---|
| Standard Library Logging | Logging |
| Loguru | Logging |
| Structlog | Logging |
Creating Custom Integrations¶
If you are a maintainer of a package and would like to create an integration for Logfire, you can do it! 
We've created a shim package called logfire-api, which can be used to integrate your package with Logfire.
The idea of logfire-api is that it doesn't have any dependencies. It's a very small package that matches the API of Logfire.
We created it so that you can create an integration for Logfire without having to install Logfire itself.
You can use logfire-api as a lightweight dependency of your own package.
If logfire is installed, then logfire-api will use it. If not, it will use a no-op implementation.
This way users of your package can decide whether or not they want to install logfire, and you don't need to
check whether or not it's installed.
Here's how you can use logfire-api:
import logfire_api as logfire
logfire.info("Hello, Logfire!")
Note
You generally don't want to call logfire_api.configure(), it's up to your users to call
logfire.configure() if they want to use the integration.
All the Logfire API methods are available in logfire-api.