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# Phoenix Tracing: Production Guide (Python)
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**CRITICAL: Configure batching, data masking, and span filtering for production deployment.**
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## Metadata
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| Attribute | Value |
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|-----------|-------|
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| Priority | Critical - production readiness |
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| Impact | Security, Performance |
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| Setup Time | 5-15 min |
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## Batch Processing
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**Enable batch processing for production efficiency.** Batching reduces network overhead by sending spans in groups rather than individually.
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## Data Masking (PII Protection)
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**Environment variables:**
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```bash
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export OPENINFERENCE_HIDE_INPUTS=true # Hide input.value
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export OPENINFERENCE_HIDE_OUTPUTS=true # Hide output.value
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export OPENINFERENCE_HIDE_INPUT_MESSAGES=true # Hide LLM input messages
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export OPENINFERENCE_HIDE_OUTPUT_MESSAGES=true # Hide LLM output messages
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export OPENINFERENCE_HIDE_INPUT_IMAGES=true # Hide image content
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export OPENINFERENCE_HIDE_INPUT_TEXT=true # Hide embedding text
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export OPENINFERENCE_BASE64_IMAGE_MAX_LENGTH=10000 # Limit image size
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```
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**Python TraceConfig:**
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```python
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from phoenix.otel import register
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from openinference.instrumentation import TraceConfig
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config = TraceConfig(
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hide_inputs=True,
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hide_outputs=True,
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hide_input_messages=True
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)
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register(trace_config=config)
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```
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**Precedence:** Code > Environment variables > Defaults
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---
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## Span Filtering
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**Suppress specific code blocks:**
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```python
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from phoenix.otel import suppress_tracing
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with suppress_tracing():
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internal_logging() # No spans generated
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```
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