Using Logfire Environments

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Logfire

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Hello again!

In Logfire you can differentiate between dev/staging/prod data by adding one line.

Set the environment parameter in logfire.configure ( https://logfire.pydantic.dev/docs/reference/api/logfire/#logfire.configure(environment) ). Here's a minimal example you can copy and run:

import logfire

logfire.configure(environment='local')
logfire.info("environment active")

When you run this, you create an environment which can be selected from the Logfire UI on the Live View, Dashboards and Explore views, allowing you to filter by that environment:

Environment selection in Logfire UI

For more details of how this feature works, see the environments documentation ( https://logfire.pydantic.dev/docs/guides/advanced/environments/ ).

Still have questions? Feel free to get in touch ( https://logfire.pydantic.dev/docs/help/ ) or just reply to this email.

Best,
Samuel

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Pydantic Services, Inc. ・
https://pydantic.dev ・
github/pydantic ( https://github.com/pydantic )

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Accession

nse/pydantic/2026-11-11/6729

From

Pydantic Team · hello@pydantic.dev

Sent

11 November 2026 · 21:00 UTC