Advanced trace management and analysis tools
from synth_ai.tracing_v3.storage.factory import create_trace_manager # Create trace manager with storage backend manager = create_trace_manager({ "type": "sqlite", "database_path": "traces.db" }) # Query traces recent_traces = manager.get_traces( start_time="2024-01-01", end_time="2024-01-31" )
# Filter by session session_traces = manager.get_traces(session_id="my-session") # Filter by event type lm_calls = manager.get_events(event_type="lm_call") # Complex queries expensive_calls = manager.get_events( event_type="lm_call", filters={ "cost": {"gt": 0.01}, "model": {"contains": "gpt-4"} } )
# Export to JSON manager.export_traces( session_ids=["session-1", "session-2"], format="json", output_path="traces.json" ) # Export to CSV for analysis manager.export_events( event_type="lm_call", format="csv", output_path="lm_calls.csv" )
# Cost analysis cost_summary = manager.analyze_costs( start_date="2024-01-01", group_by="model" ) # Performance metrics perf_stats = manager.analyze_performance( event_type="lm_call", metrics=["latency", "tokens_per_second"] )
config = { "type": "sqlite", "database_path": "local_traces.db" }
config = { "type": "turso", "database_url": "libsql://your-db.turso.io", "auth_token": "your-auth-token" }