Sentry Python SDK
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
- Skill ID
- getsentry/sentry-for-ai/sentry-python-sdk
- Publisher
- getsentry
- Repository
- sentry-for-ai
- Installs
- 0
- Files
- 8
- License
- Apache-2.0
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
getsentry/sentry-for-ai/sentry-python-sdkInstalls these files- SKILL.md
- references/ai-monitoring.md
- references/crons.md
- references/error-monitoring.md
- references/logging.md
- references/metrics.md
- references/profiling.md
- references/tracing.md
What this skill tells the agent
All Skills > SDK Setup > Python SDK
Sentry Python SDK
Opinionated wizard that scans your Python project and guides you through complete Sentry setup.
Invoke This Skill When
- User asks to "add Sentry to Python" or "setup Sentry" in a Python app
- User wants error monitoring, tracing, profiling, logging, metrics, or crons in Python
- User mentions
sentry-sdk,sentry_sdk, or Sentry + any Python framework - User wants to monitor Django views, Flask routes, FastAPI endpoints, Celery tasks, or scheduled jobs
Note: SDK versions and APIs below reflect Sentry docs at time of writing (sentry-sdk 2.x). Always verify against docs.sentry.io/platforms/python/ before implementing.
Phase 1: Detect
Run these commands to understand the project before making recommendations:
# Check existing Sentry
grep -i sentry requirements.txt pyproject.toml setup.cfg setup.py 2>/dev/null
# Detect web framework
grep -rE "django|flask|fastapi|starlette|aiohttp|tornado|quart|falcon|sanic|bottle|pyramid" \
requirements.txt pyproject.toml 2>/dev/null
# Detect task queues
grep -rE "celery|rq|huey|arq|dramatiq" requirements.txt pyproject.toml 2>/dev/null
# Detect logging libraries
grep -E "loguru" requirements.txt pyproject.toml 2>/dev/null
# Detect AI libraries
grep -rE "openai|anthropic|langchain|huggingface|google-genai|pydantic-ai|litellm" \
requirements.txt pyproject.toml 2>/dev/null
# Detect schedulers / crons
grep -rE "celery|apscheduler|schedule|crontab" requirements.txt pyproject.toml 2>/dev/null
# OpenTelemetry tracing — check for SDK + instrumentations
grep -rE "opentelemetry-sdk|opentelemetry-instrumentation|opentelemetry-distro" \
requirements.txt pyproject.toml 2>/dev/null
grep -rn "TracerProvider\|trace\.get_tracer\|start_as_current_span" \
--include="*.py" 2>/dev/null | head -5
# Check for companion frontend
ls frontend/ web/ client/ ui/ static/ templates/ 2>/dev/nullWhat to note:
- Is
sentry-sdkalready in requirements? If yes, check ifsentry_sdk.init()is present — may just need feature config. - Which framework? (Determines where to place
sentry_sdk.init().) - Which task queue? (Celery needs dual-process init; RQ needs a settings file.)
- AI libraries? (OpenAI, Anthropic, LangChain are auto-instrumented.)
- OpenTelemetry tracing? (Use OTLP path instead of native tracing.)
- Companion frontend? (Triggers Phase 4 cross-link.)
Phase 2: Recommend
Based on what you found, present a concrete proposal. Don't ask open-ended questions — lead with a recommendation:
Route from OTel detection:
- OTel tracing detected (
opentelemetry-sdk/opentelemetry-distroin requirements, orTracerProviderin source) → use OTLP path:OTLPIntegration(); do not settraces_sample_rate; Sentry links errors to OTel traces automatically
Always recommended (core coverage):
- ✅ Error Monitoring — captures unhandled exceptions, supports
ExceptionGroup(Python 3.11+) - ✅ Logging — Python
loggingstdlib auto-captured; enhanced if Loguru detected
Recommend when detected:
- ✅ Tracing — HTTP framework detected (Django/Flask/FastAPI/etc.)
- ✅ AI Monitoring — OpenAI/Anthropic/LangChain/etc. detected (auto-instrumented, zero config)
- ⚡ Profiling — production apps where performance matters; not available with OTLP path
- ⚡ Crons — Celery Beat, APScheduler, or cron patterns detected
- ⚡ Metrics — business KPIs, SLO tracking
Recommendation matrix:
| Feature | Recommend when... | Reference |
|---|---|---|
| Error Monitoring | Always — non-negotiable baseline | ${SKILL_ROOT}/references/error-monitoring.md |
| OTLP Integration | OTel tracing detected — replaces native Tracing | ${SKILL_ROOT}/references/tracing.md |
| Tracing | Django/Flask/FastAPI/AIOHTTP/etc. detected; skip if OTel tracing detected | ${SKILL_ROOT}/references/tracing.md |
| Profiling | Production + performance-sensitive workload; skip if OTel tracing detected (requires traces_sample_rate, incompatible with OTLP) | ${SKILL_ROOT}/references/profiling.md |
| Logging | Always (stdlib); enhanced for Loguru | ${SKILL_ROOT}/references/logging.md |
| Metrics | Business events or SLO tracking needed | ${SKILL_ROOT}/references/metrics.md |
| Crons | Celery Beat, APScheduler, or cron patterns | ${SKILL_ROOT}/references/crons.md |
| AI Monitoring | OpenAI/Anthropic/LangChain/etc. detected | ${SKILL_ROOT}/references/ai-monitoring.md |
OTel tracing detected: "I see OpenTelemetry tracing in the project. I recommend Sentry's OTLP integration for tracing (via your existing OTel setup) + Error Monitoring + Sentry Logging [+ Metrics/Crons/AI Monitoring if applicable]. Shall I proceed?"
No OTel: "I recommend Error Monitoring + Tracing [+ Logging if applicable]. Want Profiling, Crons, or AI Monitoring too?"
Phase 3: Guide
Install
# Core SDK (always required)
pip install sentry-sdk
# Optional extras (install only what matches detected framework):
pip install "sentry-sdk[django]"
pip install "sentry-sdk[flask]"
pip install "sentry-sdk[fastapi]"
pip install "sentry-sdk[celery]"
pip install "sentry-sdk[aiohttp]"
pip install "sentry-sdk[tornado]"
# Multiple extras:
pip install "sentry-sdk[django,celery]"Extras are optional — plain sentry-sdk works for all frameworks. Extras install complementary packages.Quick Start — Recommended Init
Full init enabling the most features with sensible defaults. Place before any app/framework code:
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
environment=os.environ.get("SENTRY_ENVIRONMENT", "production"),
release=os.environ.get("SENTRY_RELEASE"), # e.g. "myapp@1.0.0"
send_default_pii=True,
# Tracing (lower to 0.1–0.2 in high-traffic production)
traces_sample_rate=1.0,
# Profiling — continuous, tied to active spans
profile_session_sample_rate=1.0,
profile_lifecycle="trace",
# Structured logs (SDK ≥ 2.35.0)
enable_logs=True,
)Where to Initialize Per Framework
| Framework | Where to call sentry_sdk.init() | Notes |
|---|---|---|
| Django | Top of settings.py, before any imports | No middleware needed — Sentry patches Django internally |
| Flask | Before app = Flask(__name__) | Must precede app creation |
| FastAPI | Before app = FastAPI() | StarletteIntegration + FastApiIntegration auto-enabled together |
| Starlette | Before app = Starlette(...) | Same auto-integration as FastAPI |
| AIOHTTP | Module level, before web.Application() | |
| Tornado | Module level, before app setup | No integration class needed |
| Quart | Before app = Quart(__name__) | |
| Falcon | Module level, before app = falcon.App() | |
| Pyramid | Module level, before config = Configurator() | WSGI framework |
| Sanic | Inside @app.listener("before_server_start") | Sanic's lifecycle requires async init |
| Celery | @signals.celeryd_init.connect in worker AND in calling process | Dual-process init required |
| RQ | mysettings.py loaded by worker via rq worker -c mysettings | |
| ARQ | Both worker module and enqueuing process |
Django example (settings.py):
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
send_default_pii=True,
traces_sample_rate=1.0,
profile_session_sample_rate=1.0,
profile_lifecycle="trace",
enable_logs=True,
)
# rest of Django settings...
INSTALLED_APPS = [...]FastAPI example (main.py):
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
send_default_pii=True,
traces_sample_rate=1.0,
profile_session_sample_rate=1.0,
profile_lifecycle="trace",More from getsentry
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