Opik Python SDK Design Documentation

Comprehensive architecture documentation for contributors and team members. These guides explain how the SDK works internally, not how to use it.

📚 Documentation

Document	Priority	Description
API and Data Flow	⭐ Start Here	Core architecture, 3 layers, sync vs async operations, batching, message processing
Testing	🔵 Essential	Test categories, fake backend, TraceModel/SpanModel patterns
Integrations	🟣 As Needed	Integration patterns (method patching, callback, hybrid), streaming strategies
Evaluation	🟣 As Needed	Evaluation engine, all 4 evaluation methods, metrics architecture

🚀 Quick Start

First-Time Contributors

1. Read API and Data Flow - Understand core architecture
2. Read Testing - Learn testing patterns
3. Choose domain doc based on your task

By Task

Task	Document	Key Sections
Understanding @opik.track	API and Data Flow	Decorator Data Flow, Context Management
Adding integration	Integrations	Integration Patterns, existing integrations
Creating metric, evaluation pipelines	Evaluation	Metrics Architecture
Debugging performance	API and Data Flow	Batching System, Performance
Writing tests	Testing	Testing Patterns, fake backend

🔄 Maintenance

Update documentation when:

• Major architectural changes
• New patterns introduced
• New integrations added
• Performance optimizations

Quality standards:

• Accurate (reflects codebase)
• Clear (easy for newcomers)
• Practical (real examples)

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Last Updated: 2025-01-20

Questions? Open an issue or contact the SDK team.