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Skills/getsentry/sentry-for-ai/sentry-python-sdk
sentry-python-sdk logo

sentry-python-sdk

getsentry/sentry-for-ai
1K installs208 stars
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Installation

npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-python-sdk

Summary

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.md

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" \
  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/null

What to note:

  • Is sentry-sdk already in requirements? If yes, check if sentry_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-distro in requirements, or TracerProvider in source) → use OTLP path: OTLPIntegration(); do not set traces_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 logging stdlib 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:

FeatureRecommend when...Reference
Error MonitoringAlways — non-negotiable baseline${SKILL_ROOT}/references/error-monitoring.md
OTLP IntegrationOTel tracing detected — replaces native Tracing${SKILL_ROOT}/references/tracing.md
TracingDjango/Flask/FastAPI/AIOHTTP/etc. detected; skip if OTel tracing detected${SKILL_ROOT}/references/tracing.md
ProfilingProduction + performance-sensitive workload; skip if OTel tracing detected (requires traces_sample_rate, incompatible with OTLP)${SKILL_ROOT}/references/profiling.md
LoggingAlways (stdlib); enhanced for Loguru${SKILL_ROOT}/references/logging.md
MetricsBusiness events or SLO tracking needed${SKILL_ROOT}/references/metrics.md
CronsCelery Beat, APScheduler, or cron patterns${SKILL_ROOT}/references/crons.md
AI MonitoringOpenAI/Anthropic/LangChain/etc. detected${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

FrameworkWhere to call sentry_sdk.init()Notes
DjangoTop of settings.py, before any importsNo middleware needed — Sentry patches Django internally
FlaskBefore app = Flask(__name__)Must precede app creation
FastAPIBefore app = FastAPI()StarletteIntegration + FastApiIntegration auto-enabled together
StarletteBefore app = Starlette(...)Same auto-integration as FastAPI
AIOHTTPModule level, before web.Application()
TornadoModule level, before app setupNo integration class needed
QuartBefore app = Quart(__name__)
FalconModule level, before app = falcon.App()
SanicInside @app.listener("before_server_start")Sanic's lifecycle requires async init
Celery@signals.celeryd_init.connect in worker AND in calling processDual-process init required
RQmysettings.py loaded by worker via rq worker -c mysettings
ARQBoth 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",
    enable_logs=True,
)

from fastapi import FastAPI
app = FastAPI()

Auto-Enabled vs Explicit Integrations

Most integrations activate automatically when their package is installed — no integrations=[...] needed:

Auto-enabledExplicit required
Django, Flask, FastAPI, Starlette, AIOHTTP, Tornado, Quart, Falcon, Sanic, BottleDramatiqIntegration
Celery, RQ, Huey, ARQGRPCIntegration
SQLAlchemy, Redis, asyncpg, pymongoStrawberryIntegration
Requests, HTTPX, aiohttp-clientAsyncioIntegration
OpenAI, Anthropic, LangChain, Pydantic AI, MCPOpenTelemetryIntegration
Python logging, LoguruWSGIIntegration / ASGIIntegration

For Each Agreed Feature

Walk through features one at a time. Load the reference, follow its steps, verify before moving on:

FeatureReference fileLoad when...
Error Monitoring${SKILL_ROOT}/references/error-monitoring.mdAlways (baseline)
Tracing${SKILL_ROOT}/references/tracing.mdHTTP handlers / distributed tracing
Profiling${SKILL_ROOT}/references/profiling.mdPerformance-sensitive production
Logging${SKILL_ROOT}/references/logging.mdAlways; enhanced for Loguru
Metrics${SKILL_ROOT}/references/metrics.mdBusiness KPIs / SLO tracking
Crons${SKILL_ROOT}/references/crons.mdScheduler / cron patterns detected
AI Monitoring${SKILL_ROOT}/references/ai-monitoring.mdAI library detected

For each feature: Read ${SKILL_ROOT}/references/<feature>.md, follow steps exactly, verify it works.

---

Configuration Reference

Key sentry_sdk.init() Options

OptionTypeDefaultPurpose
dsnstrNoneSDK disabled if empty; env: SENTRY_DSN
environmentstr"production"e.g., "staging"; env: SENTRY_ENVIRONMENT
releasestrNonee.g., "myapp@1.0.0"; env: SENTRY_RELEASE
send_default_piiboolFalseInclude IP, headers, cookies, auth user
traces_sample_ratefloatNoneTransaction sample rate; None disables tracing
traces_samplerCallableNoneCustom per-transaction sampling (overrides rate)
profile_session_sample_ratefloatNoneContinuous profiling session rate
profile_lifecyclestr"manual""trace" = auto-start profiler with spans
profiles_sample_ratefloatNoneTransaction-based profiling rate
enable_logsboolFalseSend logs to Sentry (SDK ≥ 2.35.0)
sample_ratefloat1.0Error event sample rate
attach_stacktraceboolFalseStack traces on capture_message()
max_breadcrumbsint100Max breadcrumbs per event
debugboolFalseVerbose SDK debug output
before_sendCallableNoneHook to mutate/drop error events
before_send_transactionCallableNoneHook to mutate/drop transaction events
ignore_errorslist[]Exception types or regex patterns to suppress
auto_enabling_integrationsboolTrueSet False to disable all auto-detection
OTLPIntegration Options (pass to constructor)
OptionTypeDefaultPurpose
setup_otlp_traces_exporterboolTrueAuto-configure OTLP exporter; set False if you send to your own Collector
collector_urlstrNoneOTLP HTTP endpoint of an OTel Collector (e.g., http://localhost:4318/v1/traces); when set, spans are sent to the collector instead of directly to Sentry
setup_propagatorboolTrueAuto-configure Sentry propagator for distributed tracing
capture_exceptionsboolFalseIntercept exceptions recorded via OTel Span.record_exception

Environment Variables

VariableMaps toNotes
SENTRY_DSNdsn
SENTRY_RELEASEreleaseAlso auto-detected from git SHA, Heroku, CircleCI, CodeBuild, GAE
SENTRY_ENVIRONMENTenvironment
SENTRY_DEBUGdebug

---

Verification

Test that Sentry is receiving events:

# Trigger a real error event — check dashboard within seconds
division_by_zero = 1 / 0

Or for a non-crashing check:

sentry_sdk.capture_message("Sentry Python SDK test")

If nothing appears:

  1. Set debug=True in sentry_sdk.init() — prints SDK internals to stdout
  2. Verify the DSN is correct
  3. Check SENTRY_DSN env var is set in the running process
  4. For Celery/RQ: ensure init runs in the worker process, not just the calling process

---

Phase 4: Cross-Link

After completing Python setup, check for a companion frontend missing Sentry:

ls frontend/ web/ client/ ui/ 2>/dev/null
cat frontend/package.json web/package.json client/package.json 2>/dev/null \
  | grep -E '"react"|"svelte"|"vue"|"next"|"nuxt"'

If a frontend exists without Sentry, suggest the matching skill:

Frontend detectedSuggest skill
React / Next.jssentry-react-sdk
Svelte / SvelteKitsentry-svelte-sdk
Vue / NuxtUse @sentry/vue — see docs.sentry.io/platforms/javascript/guides/vue/
Other JS/TSsentry-react-sdk (covers generic browser JS patterns)

---

Troubleshooting

IssueSolution
Events not appearingSet debug=True, verify DSN, check env vars in the running process
Malformed DSN errorFormat: https://<key>@o<org>.ingest.sentry.io/<project>
Django exceptions not capturedEnsure sentry_sdk.init() is at the top of settings.py before other imports
Flask exceptions not capturedInit must happen before app = Flask(__name__)
FastAPI exceptions not capturedInit before app = FastAPI(); both StarletteIntegration and FastApiIntegration auto-enabled
ASGI chained exceptions suppressedBy default, Sentry's ASGI middleware strips exception chains (raise exc from None). To preserve chained exceptions, set _experiments={"suppress_asgi_chained_exceptions": False} in sentry_sdk.init()
Celery task errors not capturedMust call sentry_sdk.init() in the worker process via celeryd_init signal
Sanic init not workingInit must be inside @app.listener("before_server_start"), not module level
uWSGI not capturingAdd --enable-threads --py-call-uwsgi-fork-hooks to uWSGI command
No traces appearing (native)Verify traces_sample_rate is set (not None); check that the integration is auto-enabled
No traces appearing (OTLP)Verify sentry-sdk[opentelemetry-otlp] is installed; do not set traces_sample_rate when using OTLPIntegration
Profiling not startingRequires traces_sample_rate > 0 + either profile_session_sample_rate or profiles_sample_rate; not compatible with OTLP path
enable_logs not workingRequires SDK ≥ 2.35.0; for direct structured logs use sentry_sdk.logger; for stdlib bridging use LoggingIntegration(sentry_logs_level=...)
Too many transactionsLower traces_sample_rate or use traces_sampler to drop health checks
Cross-request data leakingDon't use get_global_scope() for per-request data — use get_isolation_scope()
RQ worker not reportingPass --sentry-dsn="" to disable RQ's own Sentry shortcut; init via settings file instead

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,473 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Sentry Python Sdk skill score badge previewScore badge

Markdown

[![Sentry Python Sdk skill](https://www.remoteopenclaw.com/skills/getsentry/sentry-for-ai/sentry-python-sdk/badges/score.svg)](https://www.remoteopenclaw.com/skills/getsentry/sentry-for-ai/sentry-python-sdk)

HTML

<a href="https://www.remoteopenclaw.com/skills/getsentry/sentry-for-ai/sentry-python-sdk"><img src="https://www.remoteopenclaw.com/skills/getsentry/sentry-for-ai/sentry-python-sdk/badges/score.svg" alt="Sentry Python Sdk skill"/></a>

Sentry Python Sdk FAQ

How do I install the Sentry Python Sdk skill?

Run “npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-python-sdk” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Sentry Python Sdk skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Sentry Python Sdk skill free?

Yes. Sentry Python Sdk is a free, open-source skill published from getsentry/sentry-for-ai. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Sentry Python Sdk work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Sentry Python Sdk works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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