Source: python-logfire
Section: python
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Pieter Lenaerts <plenae@disroot.org>
Build-Depends:
 debhelper-compat (= 14),
 dh-sequence-python3,
 pybuild-plugin-pyproject,
 python3-all,
 python3-hatchling,
Build-Depends-Indep:
 git <!nocheck>,
# mkdocs <!nodoc>,
# mkdocs-material <!nodoc>,
# mkdocstrings <!nodoc>,
# mkdocstrings-python-handlers <!nodoc>,
 python3-aiohttp <!nocheck>,
 python3-anthropic <!nocheck>,
 python3-anyio <!nocheck>,
 python3-beartype <!nocheck>,
 python3-cloudpickle <!nocheck>,
 python3-dirty-equals <!nocheck>,
 python3-django <!nocheck>,
 python3-executing <!nocheck>,
 python3-fastapi <!nocheck>,
 python3-flask <!nocheck>,
 python3-httpx <!nocheck>,
 python3-httpx2 <!nocheck>,
 python3-inline-snapshot <!nocheck>,
 python3-loguru <!nocheck>,
 python3-numpy <!nocheck>,
 python3-openai <!nocheck>,
 python3-opentelemetry-exporter-http-transport <!nocheck>,
 python3-opentelemetry-exporter-otlp-common <!nocheck>,
 python3-opentelemetry-exporter-otlp-proto-common <!nocheck>,
 python3-opentelemetry-exporter-otlp-proto-http <!nocheck>,
 python3-opentelemetry-instrumentation <!nocheck>,
 python3-opentelemetry-instrumentation-aiohttp-client <!nocheck>,
 python3-opentelemetry-instrumentation-aiohttp-server <!nocheck>,
 python3-opentelemetry-instrumentation-asgi <!nocheck>,
 python3-opentelemetry-instrumentation-aws-lambda <!nocheck>,
 python3-opentelemetry-instrumentation-django <!nocheck>,
 python3-opentelemetry-instrumentation-fastapi <!nocheck>,
 python3-opentelemetry-instrumentation-flask <!nocheck>,
 python3-opentelemetry-instrumentation-httpx <!nocheck>,
 python3-opentelemetry-instrumentation-requests <!nocheck>,
 python3-opentelemetry-instrumentation-system-metrics <!nocheck>,
 python3-opentelemetry-instrumentation-wsgi <!nocheck>,
 python3-opentelemetry-sdk <!nocheck>,
 python3-pandas <!nocheck>,
 python3-psutil <!nocheck>,
 python3-pyarrow [amd64 arm64 loong64 ppc64el riscv64] <!nocheck>,
 python3-pydantic <!nocheck>,
 python3-pydantic-handlebars <!nocheck>,
 python3-pytest <!nocheck>,
 python3-pytest-asyncio <!nocheck>,
 python3-pytest-django <!nocheck>,
 python3-pytest-examples <!nocheck>,
 python3-pytest-recording <!nocheck>,
 python3-pytest-timeout <!nocheck>,
 python3-pytest-xdist <!nocheck>,
 python3-requests <!nocheck>,
 python3-requests-mock <!nocheck>,
 python3-rich <!nocheck>,
 python3-starlette <!nocheck>,
 python3-structlog <!nocheck>,
 python3-sqlmodel <!nocheck>,
 python3-uvicorn <!nocheck>,
Standards-Version: 4.7.4
Homepage: https://pydantic.dev/logfire
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-logfire
Vcs-Git: https://salsa.debian.org/python-team/packages/python-logfire.git

Package: python3-logfire
Architecture: all
# Suggests:
#  python-logfire-doc,
Description: AI observability platform for production LLM and agent systems
 Logfire is Pydantic’s end-to-end AI engineering platform. It shows you what
 your agents, services, applications, and hosts are actually doing: every LLM
 call, request, and query, and how long each one took. Built on OpenTelemetry
 (OTel), the open standard for traces, metrics, and logs, it spans your whole
 stack, from AI agents to the databases and servers behind them.

Package: python3-logfire-api
Architecture: all
Description: Shim for the Logfire SDK - does nothing unless Logfire is installed
 Logfire is Pydantic's end-to-end AI engineering platform. It shows you what
 your agents, services, applications, and hosts are actually doing: every LLM
 call, request, and query, and how long each one took. Built on OpenTelemetry
 (OTel), the open standard for traces, metrics, and logs, it spans your whole
 stack, from AI agents to the databases and servers behind them.
 .
 This package provides the lightweight logfire_api shim module. Code written
 against the Logfire SDK can import logfire_api without having the full SDK
 installed; in that case the shim is a no-op. When the full python3-logfire
 package is installed, this module transparently re-exports the real Logfire
 implementation.

# No docs package yet. It requires pydantic_docs, which is not released by
# Pydantic Inc. It is not on PyPI and has no tags on github.
# Ref https://github.com/pydantic/pydantic-docs
# Package: logfire-docs
# Architecture: all
# Section: doc
# Suggests: www-browser
# Description: AI observability platform for production LLM and agent systems - Documentation
#  Logfire is Pydantic’s end-to-end AI engineering platform. It shows you what
#  your agents, services, applications, and hosts are actually doing: every LLM
#  call, request, and query, and how long each one took. Built on OpenTelemetry
#  (OTel), the open standard for traces, metrics, and logs, it spans your whole
#  stack, from AI agents to the databases and servers behind them.
#  .
#  This is the documentation package