Decision Tracing

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What is Decision Tracing?

• Every step in the decision process
• Data sources consulted
• Reasoning paths taken
• Confidence at each stage

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Trace Components

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1. Query Analysis

• Intent detection
• Entity extraction
• Context understanding

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2. Data Retrieval

• Sources searched
• Relevance scoring
• Data filtering applied

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3. Response Generation

• Model selection
• Reasoning steps
• Final output construction

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Enabling Tracing

response = client.rag.chat(
    messages=[{"role": "user", "content": "Your question"}],
    execution_control={
        "enable_tracing": True
    }
)

# Access trace information
trace = response.trace
print(trace.steps)

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Benefits

• Debugging: Identify issues in your AI workflows
• Compliance: Maintain audit trails
• Optimization: Find performance bottlenecks
• Trust: Build confidence in AI decisions

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Next Steps

• Master Execution Control
• Understand the Architecture
• See Tracing in Action