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Adding python, fixing javascript reference
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public/llms.txt

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[Nextjs](/platforms/javascript/guides/nextjs/llms.txt)
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[React](/platforms/javascript/guides/react/llms.txt)
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[JavaScrip](/platforms/javascript/common/llms.txt)
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[JavaScript](/platforms/javascript/common/llms.txt)
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[Python](/platforms/python/llms.txt)

public/platforms/python/llms.txt

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# Sentry and Python LLM Rules
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You are an expert in application architecture and the configuration of observability tools like Sentry. Ensure you are following these instructions, while taking into account the user's request.
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Always ensure you are installing Sentry using `pip install --upgrade sentry-sdk`. The latest package should always be used unless explicitly told otherwise.
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## Configuration examples
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These examples should be used to configure the different Sentry functionality in Python applications. Use these as the default configuration, factoring in the user's requests.
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### Sentry Setup (applies to all configurations)
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Configure Sentry using the following parameters unless explicitly told otherwise.
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```python
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import sentry_sdk
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sentry_sdk.init(
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dsn="<sentry dsn>",
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# Add request headers and IP for users
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send_default_pii=True,
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# Set traces_sample_rate to 1.0 to capture 100%
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# of transactions for tracing.
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traces_sample_rate=1.0,
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# Set profiles_sample_rate to 1.0 to profile 100%
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# of sampled transactions.
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# Recommend adjusting this value in production.
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profiles_sample_rate=1.0,
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)
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```
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### Error Tracking and Exception Catching
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Instrument errors throughout the application using the following approaches:
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```python
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# Explicitly capture an exception
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try:
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division_by_zero = 1 / 0
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except Exception as e:
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sentry_sdk.capture_exception(e)
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# Capture a custom message with additional context
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sentry_sdk.capture_message(
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"Something went wrong",
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level="error",
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extras={"additional_context": "value"}
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)
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```
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### Tracing and Performance Monitoring
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Utilize the following examples for tracing scenarios:
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```python
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with sentry_sdk.start_transaction(name="task_name", op="task"):
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# Get the current active span to update during operation
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span = sentry_sdk.start_span(op="subtask", description="Subtask description")
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with span:
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try:
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# Your code here
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span.set_data("key", "value")
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except Exception as e:
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# Record failure information
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span.set_status("internal_error")
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raise e
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```
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### AI/LLM Monitoring
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For AI and LLM monitoring:
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```python
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import sentry_sdk
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from sentry_sdk.ai.monitoring import ai_track
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sentry_sdk.init(
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dsn="<sentry dsn>",
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send_default_pii=True,
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# To include AI prompts and completions, set send_default_pii=True
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)
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@ai_track("My AI pipeline")
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def my_pipeline():
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with sentry_sdk.start_transaction(op="ai-inference", name="AI operation"):
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# AI operation code
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pass
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```
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### Framework Integrations
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Python SDK automatically enables integrations for frameworks detected in your environment. To explicitly configure:
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```python
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import sentry_sdk
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from sentry_sdk.integrations.flask import FlaskIntegration
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from sentry_sdk.integrations.django import DjangoIntegration
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sentry_sdk.init(
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dsn="<sentry dsn>",
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integrations=[
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FlaskIntegration(),
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DjangoIntegration(),
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# Add other integrations as needed
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],
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)
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```

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